JP7802376B2 - Driving aptitude assessment device and driving aptitude assessment method - Google Patents

Description

The present invention relates to a driving aptitude assessment device and a driving aptitude assessment method.

JP 2019-061498 A (Patent Document 1) is a background technology in this technical field. This publication states, "The vehicle control system includes: a communication unit 25 that is communicatively connected to an on-board device 1 that acquires alcohol information I1, body temperature information I2, blood pressure information I3, malfunction information I4, and tire pressure information I5, and acquires the alcohol information I1, body temperature information I2, blood pressure information I3, malfunction information I4, and tire pressure information I5 from the on-board device 1 via a communication network N; and a control unit 21 that uses the alcohol information I1, body temperature information I2, blood pressure information I3, malfunction information I4, and tire pressure information I5 acquired by the communication unit 25 to determine whether predetermined roll call items and inspection items are met" (see abstract).

JP 2019-061498 A

The technology of Patent Document 1 uses driver condition information and vehicle condition information to determine whether predetermined roll call items and inspection items have been met. The driver condition information disclosed includes alcohol information related to alcohol concentration and body temperature information related to body temperature. However, the driver condition information disclosed in Patent Document 1 is not sufficient for evaluating driving aptitude.
Therefore, the present invention provides a mechanism that can more appropriately evaluate the driving aptitude of a driver.

In order to solve the above problems, for example, the configurations described in the claims are adopted.
The present application includes multiple means for solving the above-mentioned problems, and one example is a driving aptitude evaluation device that includes a health information acquisition unit that acquires health information related to the user's health, a motor information acquisition unit that acquires motor characteristic information related to the user's motor characteristics, and a driving aptitude information output unit that, when the motor characteristic information is acquired, outputs driving aptitude information that indicates the user's suitability for driving based on the health information and the motor characteristic information.

According to the present invention, it is possible to provide a mechanism that can more appropriately evaluate the driving aptitude of a driver.
Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments.

FIG. 1 is an example of a diagram illustrating the overall configuration of a driving aptitude evaluation system 1 according to an embodiment. FIG. 2 shows an example of the hardware configuration of the management server 101. FIG. 3 shows an example of the hardware configuration of the user terminal 102. FIG. 4 shows an example of the hardware configuration of the wearable terminal 103. FIG. 5 shows an example of user information 500 . FIG. 6 is an example of health information 600 . FIG. 7 shows an example of a driving aptitude evaluation flow 700 . FIG. 8 shows an example of a health information acquisition flow 800. FIG. 9 shows an example of a content output screen 900 for a health interview. FIG. 10 shows another example of a health inquiry content output screen 1000. In FIG. FIG. 11 shows an example of a biometric information acquisition screen 1100. FIG. 12 shows another example of the biometric information acquisition screen 1200. FIG. 13 shows an example of a QOL score evaluation table 1300 . FIG. 14 shows an example of a stress reduction information output screen 1400 . FIG. 15 shows another example of the stress reduction information output screen 1500. FIG. 16 shows an example of a motion characteristic evaluation content output screen 1600. FIG. 17 shows an example of a driving aptitude evaluation table 1700 . FIG. 18 shows an example of a driving aptitude information output screen 1800 . FIG. 19 shows another example of the driving aptitude information output screen 1900. FIG. 20 shows an example of a registration completion screen 2000.

[Driving Aptitude Assessment System]
FIG. 1 is an example of an overall configuration diagram of a driving aptitude assessment system 1. The driving aptitude assessment system 1 according to the present technology can be used to easily and accurately assess the driving aptitude of drivers who drive vehicles on a daily basis, such as long-distance drivers, delivery people, bus drivers, and taxi drivers. For example, the driver's driving aptitude can be assessed every day, such as after waking up and before driving a vehicle. However, the evaluation of driving aptitude is not limited to vehicle drivers; it can also be applied to the assessment of driving aptitude of drivers of other mobile objects (such as other vehicles, ships, and aircraft, as well as water, land, and air vehicles, manual drones, etc.) that require instantaneous operational decisions, and to assessors of piloting aptitude of operators of various equipment, etc.

The driving aptitude assessment system 1 in this embodiment includes one or more user terminals 102 and one or more wearable terminals 103, each of which can connect to the management server 101 via a network. The network may be wired or wireless, and each terminal can send and receive information via the network. The user terminal 102 may be provided separately from the management server 101, or may be provided integrally with the management server 101.

Each terminal (including the management server 101; the same applies below) of the driving aptitude assessment system 1 may be, for example, a mobile terminal such as a smartphone, tablet, mobile phone, or personal digital assistant (PDA), or a wearable terminal such as glasses (goggles), a wristwatch, or clothing. Each terminal may also be a stationary or mobile computer, or a server located on the cloud or a network. From a functional standpoint, each terminal may be a VR (Virtual Reality) terminal, an AR (Augmented Reality) terminal, or an MR (Mixed Reality) terminal. Alternatively, each terminal may be a combination of multiple of these terminals. For example, a combination of one smartphone and one wearable terminal can logically function as a single terminal. Each terminal may also be an information processing terminal other than these.

Each terminal and management server 101 of the driving aptitude assessment system 1 may optionally include a processor that executes an operating system, applications, programs, etc.; a main storage device such as RAM (Random Access Memory); a secondary storage device such as an IC card, hard disk drive, SSD (Solid State Drive), or flash memory; a communication control unit such as a network card, wireless communication module, or mobile communication module; input devices such as a touch panel, keyboard, mouse, voice input device, motion controller, or input device that detects motion by capturing images from a camera; input devices such as sensors like GPS, gyro sensor, or acceleration sensor; and output devices such as a monitor, display, printer, audio output device, or oscillator. Note that the output device may also be a device or terminal that transmits information to be output to an external monitor, display, printer, or device.

The main memory stores various programs and applications (software modules), and the processor executes these programs and applications to realize each functional element of the overall system. Each module may be implemented as an independent program or application, or as a subprogram or function within a single integrated program or application. Each module may also be implemented as hardware (hardware modules) by integrating circuits or using a microcomputer. Each module may be located on a single terminal (including a management server), or may be distributed across two or more terminals (including a management server) interconnected via a network. Each module may also be located on each or one or more of two or more terminals (including a management server) interconnected via a network.

In this specification, each module is described as the entity (subject) that performs the processing, but in reality, the processing is carried out by a processor that processes various programs, applications, etc. (modules).

The auxiliary storage device stores various databases (DBs). A "database" is a set of data that has been organized and collected so that it can accommodate any data manipulation (e.g., extraction, addition, deletion, overwriting, etc.) from a processor or external computer. The auxiliary storage device is a functional element (storage unit) that stores one or more sets of data. There are no limitations on how the database is implemented; for example, it could be a database management system, spreadsheet software, or a text file such as XML or JSON.

FIG. 2 shows an example of the hardware configuration of the management server 101.
The management server 101 is an element that manages the driving aptitude evaluation system 1 of the present embodiment and is an example of a driving aptitude evaluation device in the present technology. The management server 101 is configured by, for example, a computer or a server on a cloud. The management server 101 may be installed either domestically or overseas. The management server 101 is managed and operated by, for example, a service provider of the driving aptitude evaluation system 1 according to the present technology.

The management server 101 includes a main memory device 201 and an auxiliary memory device 202. The management server 101 also includes a processor 203, an input device 204, an output device 205 (which may be an example of an output means), and a communication control unit 206, as described above.

The main memory device 201 stores programs and applications such as a user terminal management module 211, a health information acquisition module 212, a stress reduction module 213, an exercise information acquisition module 214, and a driving aptitude information output module 215. The processor 203 executes these programs and applications to realize the various functional elements of the management server 101.

The user terminal management module 211 manages the operation and connection of the user terminal 102. For example, the user terminal management module 211 works in conjunction with the user management module 311 of the user terminal 102, and controls the basic operations required to realize the functions of the driving aptitude evaluation system 1 in the user terminal 102.

The health information acquisition module 212 acquires health information related to the user's health. Here, "health" includes, for example, at least one of physical health and mental (psychological) health, and preferably both. However, because physical health and mental health are closely related, they may not always be completely distinguishable. Health information represents the quality of such health, and the present technology uses this health information as an index for evaluating whether the user is in a suitable condition for driving. Health information can typically be expressed, for example, by quantifying health quality based on an arbitrary index, or by dividing health into multiple stages between relatively good and relatively poor levels. Such health information can be acquired based on information that can represent health quality, such as biological information such as body temperature, blood pressure, pulse wave information, heart rate, blood sugar level, and electrocardiogram (ECG) information; lifestyle information such as bedtime, wake-up time, and sleep duration; and activity information such as the number of steps taken per day and calories burned.

The method by which the health information acquisition module 212 acquires health information is not particularly limited. For example, the health information acquisition module 212 can acquire health information by working in conjunction with the user-side health information acquisition module 312 of the user terminal 102 and receiving the user's health information acquired by the user terminal 102. Alternatively, the health information acquisition module 212 may, for example, output a signal to the user terminal 102 requesting health information, and acquire the user's health information in response.

The health information acquisition module 212 can also output, for example, health interview content 220 and acquire health information based on responses to this health interview content 220. The health interview content 220 is content that allows the user to self-report specific health information, etc., used to evaluate driving aptitude. Specifically, the health information acquisition module 212 works in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to output the health interview content to the user terminal 102. The user terminal 102 then accepts responses to this health interview content from the user, and the management server 101 receives the responses from the user terminal 102, thereby acquiring the responses from the user. Details of how the health information acquisition module 212 acquires health information will be described in the embodiment described below.

Health information may be acquired based on, for example, any one of the above health information, or on two or more of them. Acquiring health information based on two or more of them allows for a more appropriate evaluation of driving suitability from a variety of perspectives. The health information acquisition module 212 may be configured to acquire comprehensive health information based on two or more types of health information. While not limited to this, the comprehensive health information may be, for example, a QOL score, which quantifies the QOL (Quality of Life), which represents the overall quality of a person's life and living conditions, including multiple factors such as physical, psychological, and social aspects. The QOL score can be calculated based on various QOL assessment methods.

The stress reduction module 213 outputs stress reduction information that reduces the user's stress. The stress reduction module 213 typically outputs the stress reduction information before the exercise information acquisition module 214 (described later) outputs the exercise characteristic evaluation content. However, the stress reduction module 213 may output the stress reduction information at any timing (e.g., after an exercise characteristic evaluation, after a driving aptitude evaluation, etc.). The stress reduction information may be information in a form that affects human perception, such as text information, still image information, video information, sound information, vibration information, or temperature (hot/cold sensation) information. Specifically, the stress reduction information may be, for example, exercise videos of moderate exercise, videos that relieve mental stress (e.g., videos of small animals), music with a relaxation and/or energy effect, light emission, still images, videos, vibrations, or signals that cause an oscillator to vibrate with a relaxing or massaging effect. The stress reduction module 213 may be configured to output stress reduction information tailored to the type and level of stress (stress) that is reducing the user's health level, for example, based on health information.

The movement information acquisition module 214 acquires movement characteristic information, which is information related to the movement characteristics of the user. From the perspective of evaluating driving aptitude, movement characteristic information is, for example, information related to a predetermined movement performed by the user in response to (reaction to) some information, and this movement may be voluntary or involuntary movement. Specifically, the movement information acquisition module 214 can acquire movement information such as the time (reaction time) required for a user to perform a predetermined action after receiving predetermined or optional information (e.g., a stimulus, typically visual information).

The method for acquiring the motion characteristic information is not particularly limited, and the motion information acquisition module 214 may be configured, for example, to output motion characteristic evaluation content to the user terminal 102 and acquire the user's motion characteristic information in response. Alternatively, the motion information acquisition module 214 may be configured, for example, to output a signal requesting motion characteristic information to the user terminal 102 and acquire the user's motion characteristic information, which has been prepared in advance in the user terminal 102, from the user terminal 102 in response. The method for acquiring motion information by the motion information acquisition module 214 will be described in detail in the embodiment described below.

The driving aptitude information output module 215 outputs driving aptitude information indicating the user's aptitude for driving. For example, when the exercise information acquisition module 214 acquires exercise characteristic information, the driving aptitude information output module 215 outputs driving aptitude information based on health information and exercise characteristic information.

The auxiliary storage device 202 stores user information 500, health information 600, driving aptitude information 210, health questionnaire content 220, stress reduction content 230, and exercise characteristic assessment content 240. This information will be described later.

FIG. 3 shows an example of the hardware configuration of the user terminal 102.
The user terminal 102 is a terminal used by a user who uses the driving aptitude evaluation system 1 of this embodiment. The user terminal 102 may be, for example, a smartphone, a tablet terminal, or the like. The user terminal 102 in this embodiment is a smartphone. The user terminal 102 includes a main memory device 301 and an auxiliary memory device 302. The user terminal 102 also includes the processor 303, input device 304, output device 305, camera 306, and communication control unit 307 as described above.

The main memory device 301 stores programs and applications such as a user management module 311, a user health information acquisition module 312, a user stress reduction module 313, a user exercise information acquisition module 314, and a user driving aptitude information output module 315. The processor 303 executes these programs and applications to realize the various functional elements of the user terminal 102.

The user management module 311 controls the basic operations of the user terminal 102. For example, the user management module 311 works in conjunction with the user terminal management module 211 of the management server 101 to control the basic operations required to implement the driving aptitude evaluation system 1.

The user-side health information acquisition module 312 acquires health information related to the user's health. For example, the user-side health information acquisition module 312 works in conjunction with the health information acquisition module 212 of the management server 101 to output (display) the health interview content 220 for acquiring health information on the display (an example of the output device 305) of the user terminal 102, and accepts input from the user regarding the health interview content 220 and acquires the input information from the user as interview information. The user-side health information acquisition module 312 records the acquired health information in the auxiliary storage device 302.

The user-side health information acquisition module 312 also cooperates with the wearable device 103 via, for example, the wearable device management module 316 (described below) to acquire health information acquired by the wearable device 103. The user-side health information acquisition module 312 cooperates with the health information acquisition module 212 of the management server 101 to transmit the acquired health information to the management server 101.

The user-side stress reduction module 313 outputs (displays) stress reduction information that has the effect of reducing the user's stress. For example, the user-side stress reduction module 313 works in conjunction with the stress reduction module 213 of the management server 101 to access pre-prepared stress reduction information and display that stress reduction information on the display of the user terminal 102.

The user-side motion information acquisition module 314 acquires motion characteristic information, which is information related to the user's motion characteristics. For example, the user-side motion information acquisition module 314 works in conjunction with the motion information acquisition module 214 of the management server 101 to access pre-prepared motion characteristic evaluation content and output that motion characteristic evaluation content to the display of the user terminal 102. The user-side motion information acquisition module 314 also accepts input from the user in response to the motion characteristic evaluation content and transmits that input to the management server 101.

The user's driving aptitude information output module 315 outputs (displays) the user's driving aptitude information on the user terminal 102. For example, the user's driving aptitude information output module 315 works in conjunction with the driving aptitude information output module 215 of the management server 101 to obtain the user's driving aptitude information from the management server 101 and display the driving aptitude information on the display of the user terminal 102.

The wearable device management module 316 works in conjunction with the wearable device management module 411 of the wearable device 103 to control the basic operation of the wearable device 103. The wearable device management module 316 may also be configured to acquire biometric information by analyzing the biometric information (typically, detected vital signs) acquired from the wearable device 103. The wearable device management module 316 may be a functional element realized, for example, by executing a program provided by the manufacturer or distributor of the wearable device 103 as an application for operating the wearable device 103.

The user terminal 102 may be equipped with a sensor function capable of detecting biometric information, as an example of the input device 304. Such a sensor function may be realized by including a biosensor (e.g., a photoelectric volume pulse wave monitor) configured to detect biometric information, or may be a vital sensor function that combines a light-emitting function (e.g., a lighting function or a flash function for capturing images) and an image capturing function (e.g., a camera 306) that are standard features of the user terminal 102. When the user terminal 102 is equipped with such a sensor function, the user-side health information acquisition module 312 may be configured to analyze sensor data obtained using this sensor function and acquire health information instead of/in addition to the wearable device management module 316.

The auxiliary storage device 302 stores user information 500, health information 600, driving aptitude information 310, health interview information 320, stress reduction information 330, and exercise characteristic evaluation content 340. These may be part or all of the user information 500, health information 600, driving aptitude information 210, health interview content 220, stress reduction content 230, and exercise characteristic evaluation content 240 stored in the management server 101.

Figure 4 shows an example of the hardware configuration of the wearable device 103. The wearable device 103 is an example of a health information acquisition terminal for acquiring a user's health information, and is an additional element in the driving aptitude assessment system 1. The wearable device 103 includes a main memory device 401 and an auxiliary memory device 402. The wearable device 103 also includes the processor 403, input device 404, output device 405, sensor 406, and communication control unit 407, as described above.

The health information acquisition terminal may be, for example, any of a variety of measuring devices capable of measuring the health information described above, including a thermometer, blood pressure monitor, pulse wave sensor, blood glucose sensor, electrocardiogram sensor, sleep monitor, pedometer, etc. The wearable terminal 103 is a health information acquisition terminal that can be worn on the fingers, wrist, arm, head, etc., and is typically exemplified by a smart ring (ring-type IoT device) or a smart watch (wristwatch-type IoT device). In this embodiment, an example is described in which the wearable terminal 103 is a smart ring capable of communicating with the user terminal 102. The health information acquisition terminal does not need to be a wearable terminal (wearable terminal), but being a wearable terminal allows for easy and/or accurate acquisition of health information without causing discomfort to the user and reducing the burden and effort on the user.

The main memory device 401 stores programs and applications such as a wearable management module 411 and a sensor module 412, and the processor 403 executes these programs and applications to realize the various functional elements of the wearable device 103.

The wearable management module 411 controls the basic operations of the wearable device 103. For example, the wearable management module 411 works in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to control the basic operations of the wearable device 103. The wearable management module 411 also works in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to transmit vital data acquired by the sensor module 412 (described below) to the user terminal 102.

The sensor module 412 detects the user's vital signs and acquires them as vital data (detected data). For example, the sensor module 412 detects the user's vital signs using the sensor 406 and stores them in the auxiliary storage device 402. The sensor 406 may acquire vital data invasively or non-invasively, but a non-invasive sensor is preferable. The wearable device 103 may be equipped with, for example, a multi-wavelength PPG sensor, a temperature sensor (e.g., an infrared sensor), a microwave sensor, an electrocardiogram sensor, etc. as the sensor 406, and based on these sensors, it can acquire vital data such as the user's PPG (Photoplethysmography) signal, body temperature signal, absorbance signal, blood glucose level, and electrical activity associated with cardiac movement.

The wearable device management module 316 of the user terminal 102 can analyze the vital data acquired by the sensor module 412 to acquire health information such as the user's heart rate (average heart rate), pulse wave characteristics, body temperature, skin moisture content, sweat rate, blood glucose level, and electrocardiogram. While not limited to this, the wearable device 103 may be configured to have an analysis function for analyzing vital data and to transmit the health information obtained by analyzing this data to the user terminal 102 or the management server 101. The management server 101 may also be configured to have an analysis function for analyzing vital data and to acquire vital data from the wearable device 103 and transmit the health information obtained by analyzing this data to the user terminal 102.

Figures 5 and 6 show various types of information stored in the auxiliary storage device 202 of the management server 101. It is assumed that all or part of this information is stored in a JSON format file, but this is not limited to this. It may also be configured to be stored in a relational database or a non-relational database.

FIG. 5 shows an example of user information 500 .
The user information 500 is information about a user whose driving aptitude is to be evaluated. The user information 500 includes, for example, a user ID, a user display ID, a user name, a date of birth (male/female), a gender, an affiliation/address, password information, and personal identification information, and values such as those shown as sample values 520 are input into the respective field names 510. The user information 500 is managed by the user terminal management module 211, such as by recording and updating.

FIG. 6 is an example of health information 600 .
The health information 600 is health information relating to the user's health as described above. The health information 600 is acquired from the user terminal 102 by the health information acquisition module 212 of the management server 101 and recorded in the auxiliary storage device 202. In this embodiment, the health information 600 includes a health information ID, a user ID, bedtime, wake-up time, meals, physical condition, whether or not the user is fatigued, whether or not the user has taken medication, average pulse rate, pulse wave characteristics, and number of steps, and values such as those shown in sample values 620 are entered for each field name 610. Of this health information, the bedtime, wake-up time, meals, physical condition, whether or not the user is fatigued, and whether or not the user has taken medication are information acquired by a medical interview (medical interview information). The average pulse rate, pulse wave characteristics, and number of steps are information acquired from the wearable device 103 (biometric information and activity information, respectively).

[Driving aptitude assessment method]
The following describes the operation of the driving aptitude evaluation system 1 and a method for evaluating driving aptitude using the driving aptitude evaluation system 1. When using the driving aptitude evaluation system 1 for the first time, the user first accesses the management server 101 via, for example, the user terminal 102 and registers user information 500. Here, the user management module 311 of the user terminal 102 accepts input of the user information 500 from the user and transmits it to the management server 101. The user terminal management module 211 of the management server 101 receives the user information 500 from the user terminal 102 and registers the user information by recording it in the auxiliary storage device 202.

FIG. 7 shows an example of a driving aptitude evaluation flow 700 .
Next, the health information acquisition module 212 of the management server 101 acquires the user's health information 600 via the user terminal 102 (step S710). In this embodiment, a "QOL score" is adopted as an example of comprehensive health information, and the QOL score is acquired.

FIG. 8 shows an example of a health information acquisition flow 800.
In this embodiment, health information 600 is acquired separately as medical interview information and biological information and activity information, as shown in Figure 8. Either the medical interview information or the biological information and activity information may be acquired first, and in this embodiment, the medical interview information is acquired first (step S810).

The health information acquisition module 212 works in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to display, for example, health inquiry content for acquiring medical inquiry information on the display of the user terminal 102. Figures 9 and 10 show examples of health inquiry content output screens 900 and 1000.

The health information acquisition module 212 first displays the health interview content output screen 900. The health information acquisition module 212 displays a bedtime input section 901 and a wake-up time input section 902 on the health interview content output screen 900. The bedtime input section 901 and the wake-up time input section 902 are each pull-down or drum roll input sections, allowing the user to select the appropriate bedtime input section and wake-up time, respectively. The health information acquisition module 212 also displays an input section 903 on the health interview content output screen 900 for dietary information, physical condition, presence or absence of fatigue, and presence or absence of medication. The input section 903 is a checkbox-style input section, allowing the user to select an option by selecting a checkbox associated with the food consumed or the appropriate option. The health information acquisition module 212 displays a memo input section 904 on the health interview content output screen 900. The memo input section 904 is an input section that allows text input, and allows the user to make a note of any concerns they may have about their own health by inputting the details as text.

The health information acquisition module 212 displays a button 905 marked "Next" below the health interview content output screen 900. When the user selects this button 905 after entering health information in the input sections 901 to 904, the user-side health information acquisition module 312 accepts the user's selection of button 905. The user-side health information acquisition module 312 then transmits the entered health information to the management server 101, and the health information acquisition module 212 receives the entered health information and records it in the auxiliary storage device 202. This makes it possible to acquire the interview information from the health information 600.

The health information acquisition module 212 also works in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to display a health interview content output screen 1000, such as that shown in FIG. 10, on the display of the user terminal 102. The health information acquisition module 212 displays the interview information 1001 acquired in step S810 above this health interview content output screen 1000, allowing the user to check whether there are any errors in the interview information they entered.

The health information acquisition module 212 displays buttons 1002 and 1003 for selecting a means of acquiring biometric information below the health interview content output screen 1000, allowing the user to select the means of acquiring biometric information. In this embodiment, as means of acquiring the biometric information "pulse wave information," button 1002 for selecting the "smart ring" which is the wearable terminal 103 and button 1003 for selecting the "smartphone" which is the user terminal 102 are displayed. Then, by accepting the user's selection of either button, the system proceeds to the step of acquiring biometric information using the selected acquisition means. If there is only one type of acquisition means, buttons 1002 and 1003 may be replaced with a button to confirm the entered interview information or a button to proceed to the next step.

When selection of button 1002 or 1003 is accepted, biological information and activity information are acquired (step S820). In this embodiment, the case where pulse wave information is acquired as biological information is described, and the case where activity information and other information are acquired is not described. Figures 11 and 12 show examples of biological information acquisition screens 1100 and 1200.

[Biometric information acquisition using a smart ring]
When the health information acquisition module 212 receives selection of the "Smart Ring" selection button 1002, it displays a biometric information acquisition screen 1100, for example, as shown in Fig. 11. The health information acquisition module 212 also cooperates with the user-side health information acquisition module 312 and the wearable device management module 316 of the user terminal 102, and checks, for example, the connection with the wearable device 103.

The health information acquisition module 212 first displays a guidance message 1101 and a data acquisition start button 1102 on (A) of the biometric information acquisition screen 1100. The health information acquisition module 212 displays a message such as "Data will be acquired from the smart ring. Please wear the smart ring on your finger and touch Start Acquisition" as the guidance message 1101, and a data acquisition start button 1102 that starts acquiring pulse wave measurement results using the smart ring. For example, the health information acquisition module 212 may make the data acquisition start button 1102 selectable when communication with the wearable terminal 103 is possible, and may make the data acquisition start button 1102 unselectable when communication with the wearable terminal 103 is not possible, and may display a message such as "Communication with the smart ring is not possible. Please check your settings" in the guidance message 1101.

When the user selects (touches) the data acquisition start button 1102, the health information acquisition module 212 displays the biometric information acquisition screen 1100(B). The health information acquisition module 212 displays a data acquisition progress status 1103, a guidance message 1104, and a selection button 1105 on the biometric information acquisition screen 1100(B). The health information acquisition module 212 displays the progress of pulse wave measurement in real time using a bar graph and percentage in the data acquisition progress status 1103. The health information acquisition module 212 may be configured to calculate the data acquisition progress so that stable pulse waves and pulse wave fluctuations can be acquired for a specified measurement time, for example, by cooperating with the user-side health information acquisition module 312 and the wearable device management module 316. The health information acquisition module 212 displays the guidance message 1104, such as "When vital data acquisition is complete, please touch Next," and a button 1105 labeled "Next" for proceeding to the next step. For example, the health information acquisition module 212 may display the selection button 1105 as unselectable until data acquisition is complete (data acquisition progress status 1103 reaches 100%), and then display the selection button 1105 as selectable once data acquisition is complete (data acquisition progress status 1103 reaches 100%).

Furthermore, upon receiving a user's selection (touch) of the data acquisition start button 1102, the health information acquisition module 212 transmits an instruction to acquire biometric information to the user-side health information acquisition module 312 of the user terminal 102. In response, the user-side health information acquisition module 312 of the user terminal 102 works in conjunction with the wearable device management module 316 to measure the user's pulse wave using the wearable device 103 and analyze the pulse wave information based on specified conditions. For example, by analyzing pulse wave information (including waveform, pulse rate variability, changes in heartbeat intervals, etc.) for a specified measurement period, various health information related to cardiovascular and cardiac autonomic nervous function can be obtained, such as arterial oxygen saturation, heart rate, blood pressure (arterial pressure), vascular stiffness index, pulse wave propagation time, pulse wave velocity, cardiac output, sleep/wake discrimination, arterial compliance, peripheral resistance, and arrhythmia. Based on the analysis of the pulse waveform, the health information acquisition module 212 can detect, for example, the following:

The pulse rate depends only on the periodicity of the pulse waveform. For example, the distance between adjacent peaks in the pulse waveform can be used as the pulse period, and the average pulse rate can be calculated from the average pulse rate per minute. It is known that the pulse rate generally corresponds to the heart rate unless there are special circumstances, such as a pulse deficit or vascular obstruction.
- If the sensor for acquiring health information is equipped with, for example, a photoplethysmogram (PPG) sensor equipped with a red LED and an infrared LED (e.g., a green LED), more reliable pulse rate, percutaneous arterial oxygen saturation ( _SpO2 ), blood oxygen concentration, blood hemoglobin concentration, blood glycated hemoglobin concentration, etc. can be calculated based on the difference in the absorption rate of these sensor lights by hemoglobin in the blood.

The pulse waveform has the aspect of being a stereotypic waveform, consisting of two phases: the anacrotic phase and the catacrotic phase. However, by detecting that the pulse waveform cannot be separated into these two phases, in other words, that there is no dicrotic peak at the pulse wave peak, it is possible to detect signs of chronic elevated blood pressure and arteriosclerosis.
On the other hand, since the pulse waveform is a pulsatile (AC) physiological waveform resulting from changes in blood volume with each heartbeat, blood pressure (e.g., systolic blood pressure) can be estimated and calculated based on, for example, the pulse rate, blood output, and values of pulse wave velocity (PWV) or pulse wave transit time (PTT), the relationship between vascular wall pressure and elasticity, etc.

- SI (stiffness index), an index of aortic sclerosis, can be calculated, for example, from the time difference (delay time) between the first peak in the pulse waveform due to the driving pressure (direct wave) of cardiac contraction and the subsequent peak due to the re-rising pressure wave (reflected wave) reflected from the elimination of the driving pressure, and the subject's height. When this stiffness index SI is higher than a predetermined threshold, it is possible to detect signs and progression of hardening of the blood vessel walls, i.e., arteriosclerosis.

- Stress and exercise activate the sympathetic nervous system, while relaxation and rest activate the parasympathetic nervous system. The vagus nerve, part of the parasympathetic nervous system, controls autonomic functions such as heart rate and blood pressure. Autonomic nervous function can be evaluated based on the power of each frequency band by frequency analysis of the pulse waveform (time change). For example, the ratio (LF/HP ratio) of the power (LF) in the low-frequency band (e.g., 0.04-0.15 Hz) to the power (HF) in the high-frequency band (e.g., 0.15-0.40 Hz) can be used as an index of sympathetic nervous activity or the sympathetic/vagal activity ratio. HF can also be used as an index of vagal nerve activity. If these values fall outside a predetermined range (e.g., normal range, caution range), it can be assessed as stressed (e.g., caution range, dangerous range).

Based on this disclosure, a person skilled in the art would be able to adjust the type and configuration of the sensor, the analysis algorithm, etc. as appropriate to obtain desired health information. The health information acquisition module 212 may also be configured to acquire health information using AI or a learning device that outputs predetermined health information from the pulse waveform. This health information can be used as a health indicator of a person's stress level, fatigue, etc. The user-side health information acquisition module 312, for example, transmits the calculated pulse wave analysis information (for example, average pulse rate in this embodiment) to the management server 101. The health information acquisition module 212 of the management server 101 records the received pulse wave analysis information in the auxiliary storage device 202 and, for example, displays the selection button 1105 in a selectable manner.

[Biometric information acquisition via smartphone]
When the health information acquisition module 212 receives selection of the selection button 1003 for "smartphone" (user terminal 102), it displays a biometric information acquisition screen 1200, for example, as shown in Fig. 12. The health information acquisition module 212 also cooperates with the user-side health information acquisition module 312 of the user terminal 102 to start acquiring biometric information using the sensor function of the user terminal 102.

The health information acquisition module 212 first displays pulse wave information 1201, measurement progress information 1202, imaging information 1203, guidance message 1204, and measurement start button 1205 on the biometric information acquisition screen 1200 (A). In pulse wave information 1201, the health information acquisition module 212 displays the pulse rate (an example of pulse wave information) simply measured by pulse wave measurement in real time. Note that in screen 1200, this pulse rate is displayed as the more commonly used term "pulse." In measurement progress information 1202, the health information acquisition module 212 displays the progress of pulse wave measurement in real time using a pie chart and percentage. In imaging information 1203, the health information acquisition module 212 displays video captured by the smartphone camera (e.g., the rear camera) in real time.

The health information acquisition module 212 displays a guidance message 1204 such as "Press your index finger or middle finger against the rear camera and do not move it until the pulse wave stabilizes," along with a measurement start button 1205 that starts acquiring pulse wave information using a smartphone. For example, the health information acquisition module 212 may display the measurement start button 1205 as selectable when it detects that the pulse wave and pulse wave fluctuations have stabilized based on the imaging information, and may display the measurement start button 1205 as unselectable until it detects that the pulse wave and pulse wave fluctuations have stabilized.

When the health information acquisition module 212 receives a user's selection (touch) of the measurement start button 1205, it displays the biometric information acquisition screen 1200(B). The health information acquisition module 212 displays a guidance message 1206 and a measurement data analysis button 1207 on the biometric information acquisition screen 1200(B). The health information acquisition module 212 displays a message such as "Once measurement is complete, please tap measurement data analysis" as the guidance message 1206. For example, the health information acquisition module 212 may display the measurement data analysis button 1207 as selectable when pulse wave information has been acquired for a predetermined measurement time based on the imaging information, and may display the measurement data analysis button 1207 as unselectable until pulse wave information has been acquired for the predetermined measurement time.

When the user selects (touches) the measurement start button 1205, the health information acquisition module 212 begins acquiring pulse wave information via the user terminal 102 and analyzes the acquired pulse wave information as needed. The health information acquisition module 212, for example, calculates a simply measured pulse rate in real time and calculates the average pulse rate over a specified measurement period.

Instead of the above configuration, the health information acquisition module 212 may be configured to work in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to start acquiring pulse wave information when it detects that the rear camera is covered by a finger. Specifically, it detects the pulsation of the terminal artery based on subtle changes in color tone at the fingertip and acquires pulse wave variability information. The health information acquisition module 212 may also work in conjunction with the user-side health information acquisition module 312 of the user terminal 102 to automatically acquire pulse wave information for a predetermined measurement period after the pulse wave and pulse wave variability have stabilized.

Furthermore, instead of displaying the imaging information 1203 on the biological information acquisition screen 1200(A)(B), the health information acquisition module 212 may display the detected pulse waveform in real time.
Furthermore, instead of measuring the pulse wave from image information of a finger, health information acquisition module 212 may be configured to measure the pulse wave (video pulse wave) from image information of a face (specifically, changes in facial color tone), etc. In this case, health information acquisition module 212 may display an image (video) of the user's face captured by a front camera in real time in image information 1203.

Instead of the health information acquisition module 212 analyzing the pulse wave information, the user-side health information acquisition module 312 of the user terminal 102 may perform the analysis. In addition, the health information acquisition module 212 may be configured to acquire the analysis results of the pulse wave information calculated by the user-side health information acquisition module 312 (e.g., average pulse rate) instead of acquiring the pulse wave information.

When the health information acquisition module 212 receives a user's selection (touch) of the measurement data analysis button 1207, it displays the biometric information acquisition screen 1200(C). In the biometric information acquisition screen 1200(C), the health information acquisition module 212 displays the average pulse rate as second pulse wave information 1208, and pulse waveform 1209 instead of measurement progress information 1202 and imaging information 1203. The second pulse wave information 1208 is, for example, pulse wave information different from the pulse wave information 1201 displayed on screen (A), and in this case, is obtained by further analyzing the pulse wave information 1201. The health information acquisition module 212 may also display other health information obtained by pulse wave analysis as the second pulse wave information 1208 (e.g., various health information related to cardiovascular and cardiac autonomic nervous function, such as blood pressure, vascular stiffness index (arteriosclerosis index), pulse wave propagation time, pulse wave velocity, cardiac output, sleep/wake discrimination, arterial compliance, peripheral resistance, and arrhythmia). The second pulse wave information 1208 may be any one or a combination of two or more of the health information obtained by pulse wave analysis such as those exemplified above.

The health information acquisition module 212 may be configured to display, as second pulse wave information 1208, any pulse wave information preset by the user, or pulse wave information that is recommended for monitoring over time based on the user's medical history and past health information. In this case, the health information acquisition module 212 may be configured to output a warning message, display, sound, etc. as an alarm if a result indicating an abnormality in the user's health is obtained based on a comparison of the calculated second pulse wave information 1208 with previous second pulse wave information 1208 calculated in the past and recorded in the auxiliary storage device 202, etc.

Pulse waveform 1209 may be part or all of the pulse waveform acquired at a specified measurement time, for example, the most stable part of the pulse waveform.

In addition, on the biometric information acquisition screen 1200(C), the health information acquisition module 212 displays a guidance message 1210 such as "Analysis is complete. Please tap Next," as well as a selection button 1211 displaying "Next." The health information acquisition module 212 of the management server 101 records the acquired average pulse rate information in the auxiliary storage device 202.

When the user selects (touches) the selection buttons 1105 and 1211, the health information acquisition module 212 calculates a QOL score (an example of comprehensive health information) based on the acquired medical interview information and biometric information (step S830).

The health information acquisition module 212 displays the biometric information acquisition screen 1100(C). The health information acquisition module 212 displays the QOL assessment progress status 1106, a guidance message 1107, and an assessment result display button 1108 on the biometric information acquisition screen 1100(C). The health information acquisition module 212 displays, for example, the progress of the QOL assessment in real time as a pie chart in the QOL assessment progress status 1106. The health information acquisition module 212 displays, as the guidance message 1107, a message such as "Touch the QOL assessment button to assess your current score," and an assessment result display button 1108 labeled "QOL assessment" for displaying the QOL assessment. The health information acquisition module 212 may, for example, display the selection button 1105 as unselectable until the QOL assessment is complete, and then display the selection button 1105 as selectable once the QOL assessment is complete.

The method for calculating the QOL score will be explained.
The health information acquisition module 212 acquires medical interview results standardized by a multi-level rating scale based on the medical interview information and predetermined conditions. Specifically, for example, the health information acquisition module 212 assigns predetermined points to each of the acquired multiple pieces of medical interview information. The points can be determined taking into account the impact of the medical interview content on health. For example, if the user is an adult, the score can be set to "0 (zero)" if the sleep time calculated from the bedtime and wake-up time is less than four hours, "2" if the sleep time is between four and six hours, "3" if the sleep time is between six and ten hours, and "2" if the sleep time is ten hours or more.

Furthermore, points can be determined taking into account the importance of each meal to health, such as, for example, consuming breakfast, lunch, and dinner could be given a score of "5," consuming breakfast and dinner but not lunch could be given a score of "3," and consuming lunch and dinner but not breakfast could be given a score of "2." Furthermore, a good physical condition could be given a score of "5," and a poor physical condition could be given a score of "0," etc.

With regard to such point totals, for example, the range from the minimum to the maximum point total is divided into five levels in advance, and the medical interview results are assigned in order from the lowest total value category to the highest total value category, ranging from "Score 1" indicating a relatively poor health state to "Score 5" indicating a relatively good health state. The health information acquisition module 212 acquires the medical interview results by determining which score the total of points assigned to all medical interview information corresponds to.

Furthermore, the health information acquisition module 212 acquires pulse wave evaluation results normalized by a multi-level evaluation scale based on the average pulse rate and predefined conditions. Specifically, for example, with respect to the average pulse rate, a standard average pulse rate range, a range that is a predetermined number of pulse rates away from the standard average pulse rate range, and a range that is more than the predetermined number of pulse rates away from the standard average pulse rate range are predefined, and scores from "3" to "1" are assigned to these ranges in order.
In addition, the disturbance of the pulse wave waveform is evaluated on a scale from "score 3" to "score 1."
Furthermore, other health information obtained by analyzing the pulse wave (for example, blood pressure, degree of arteriosclerosis (arteriosclerosis index)) is evaluated on a scale from "score 3" to "score 1."
Furthermore, an evaluation value can also be calculated by taking a weighted average of the scores for the pulse rate, pulse wave waveform, degree of arteriosclerosis, blood pressure, and the like.

It is known that long-distance drivers often have a history of obesity and hypertension (more specifically, arteriosclerosis, high blood pressure, heart disease, stroke, diabetes, gout, and arrhythmia), which are risk factors for brain and heart disease. Therefore, the health information acquisition module 212 displays one or a combination of two or more of blood pressure, arteriosclerosis index (arteriosclerosis index), pulse wave transit time, pulse wave velocity, cardiac output, sleep/wake discrimination, arterial compliance, peripheral resistance, and arrhythmia, which can also be used as evaluation indicators for these diseases, thereby enabling the driver's driving aptitude to be evaluated and the driver's health condition to be monitored, thereby enabling the early detection of these diseases and their progression.
The health information acquisition module 212 can obtain a pulse wave evaluation result by determining which score the average pulse rate measured for the user corresponds to.

FIG. 13 shows an example of a QOL score evaluation table 1300 .
The health information acquisition module 212 acquires the user's QOL score based on the QOL score evaluation table 1300 from the obtained medical interview result and pulse wave evaluation result. As shown in the QOL score evaluation table 1300, QOL scores are defined as three levels, A to C, although not limited thereto. For example, a QOL score of "A" indicates a very good health condition (i.e., a relatively high level of health), a QOL score of "B" indicates a good health condition, and a QOL score of "C" indicates a poor health condition (i.e., a relatively low level of health). For example, if the medical interview result is a score of 4 and the pulse wave evaluation result is a score of 2, the health information acquisition module 212 acquires the QOL score "A" associated with both the medical interview result score of "4" and the pulse wave evaluation result score of "2." The health information acquisition module 212 can store the acquired QOL score in the auxiliary storage device 202.

Note that the method for obtaining the QOL score is not limited to the above example. For example, a conversion table for QOL scores corresponding to combinations of answer options in a medical interview may be prepared in advance, such as in accordance with the Japanese version of the EQ-5D (EuroQol 5 Dimension), and the health information acquisition module 212 may be configured to obtain the QOL score based on the combinations of answer options and the conversion table. The evaluation table 1300 and various conditions required for obtaining the QOL score may be stored, for example, in the auxiliary storage device 202.

14 and 15 are examples of stress reduction information output screens 1400 and 1500. FIG.
When selection of the judgment result display button 1108 is accepted, the health information acquisition module 212 cooperates with the user-side health information acquisition module 312 of the user terminal 102 to display stress reduction information output screens 1400, 1500. The health information acquisition module 212 displays judgment result display fields 1401, 1501 above the stress reduction information output screens 1400, 1500. The health information acquisition module 212 displays, for example, the acquired QOL score and a description of its content in the judgment result display fields 1401, 1501.

The stress reduction module 213 of the management server 101 then outputs information that has the effect of reducing stress (step S720). This step S720 is an optional step in the health assessment method related to the present technology and can be omitted.

The stress reduction module 213 works in conjunction with the user-side stress reduction module 313 of the user terminal 102 to display stress reduction content 1402, 1502 in the center of the stress reduction information output screen 1400, 1500. The stress reduction content 1402, 1502 is content for reducing the user's stress. The stress reduction module 213 displays a selection button 1403, 1503 below the stress reduction information output screen 1400, 1500, indicating that the user should proceed to the reflex test.

As shown in Figures 14 and 15, the stress reduction module 213 may be configured to select and display content that has the effect of suitably reducing the stress the user is currently experiencing. For example, based on the user's health information (e.g., QOL score) acquired in step 710, the stress reduction module 213 selects and displays content appropriate to the user's health condition on that day from multiple pre-prepared stress reduction contents 1402, 1502. The stress reduction contents 1402, 1502 are categorized, for example, by type of stress, into content that suitably reduces physical stress such as physical fatigue, and content that suitably reduces physical stress such as mental fatigue.

For each type, the stress reduction content 1402, 1502 is further classified by the magnitude of the stress-reducing effect. The stress reduction module 213 is configured to select and display content that has the effect of suitably reducing stress, for example, based on the type and magnitude of stress the user is currently experiencing. For example, the lower the health level (for example, when the QOL score is C), the more information the stress reduction module 213 outputs that has a greater stress-reducing effect. The stress reduction module 213 can select the content to output, for example, as follows, depending on the type of stress. Some or all of these can be output.

1. Content for reducing physical stress Videos of physical exercise Information that causes an oscillator (e.g., a linear resonant actuator, an eccentric rotation vibration motor, a piezoelectric actuator, or the like provided in the user terminal 102) to vibrate in a relaxing or massaging manner 2. Content for reducing mental stress Videos that guide the gaze in various directions (e.g., see FIG. 14)
- LED illumination - Information to regulate breathing (see, for example, Figure 15)
- Other relaxation videos that relieve mental stress (for example, animal videos, landscape videos, healing videos with or without music, etc.)

The motion information acquisition module 214 of the management server 101 acquires motion characteristic information related to the user's motion characteristics (step S730). The motion information acquisition module 214 outputs, for example, a motion characteristic evaluation content output screen 1600 for evaluating the user's motion characteristics. The motion information acquisition module 214 then acquires the user's motion characteristic information based on the response to this motion characteristic evaluation content.

Figure 16 shows an example of a content output screen 1600 for evaluating athletic characteristics. When the user selects selection buttons 1403 and 1503, the athletic information acquisition module 214 cooperates with the user-side athletic information acquisition module 314 of the user terminal 102 to display the content output screen 1600 for evaluating athletic characteristics on the display of the user terminal 102.

The motion characteristic evaluation content includes motion characteristic evaluation content (here, a driving video) for evaluating the user's instantaneous reflex characteristics when an external stimulus is applied. The motion information acquisition module 214 displays a content display section 1601 and a start button 1602 for starting the evaluation on screen 1600(A). The driving video displayed on content display section 1601 is, for example, a video showing the forward view from the driver's seat while driving a vehicle, etc. In this driving video, a scene in which hazard information appears appears at an arbitrary timing after a normal driving scene. The appearance of hazard information is an example of an external stimulus. When the motion information acquisition module 214 accepts the user's selection of start button 1602, it plays the driving video on content display section 1601, as shown on screen 1600(B). In addition, a restart button 1604 is displayed below content display section 1601, along with a message 1603 such as "If a dangerous area appears, please touch that location."

When the motion information acquisition module 214 receives the user's selection of the restart button 1604, it restarts the driving video from the beginning. Furthermore, when the motion information acquisition module 214 receives the user's selection (touch) of a dangerous area in the content display section 1601, it displays screen 1600(C). On screen 1600(C), the motion information acquisition module 214 displays a still image 1605 of the driving video at the time the user touched the dangerous area, a reflex time 1606, and a selection button 1607 labeled "overall assessment." The motion information acquisition module 214 measures the time from when a dangerous area appears in the driving video until the user touches the dangerous area, and displays this as reflex time 1606 (an example of reaction time). If this reflex time 1606 is shorter than a predetermined threshold, it can be determined that the motion characteristics are higher.

For example, the motion information acquisition module 214 may preliminarily classify the reflection time 1606 into three categories: short, standard, and long, based on a predetermined threshold, and determine that the motion characteristics of a user whose reflection time 1606 is short are level A, the motion characteristics of a user whose reflection time 1606 is standard are level B, and the motion characteristics of a user whose reflection time 1606 is long are level C. This allows the user's motion characteristics to be evaluated as level A, level B, or level C, in descending order. The motion information acquisition module 214 records this reflection time 1606 and/or motion characteristics in the auxiliary storage device 202 as motion characteristic information.

When the selection of the select button 1607 is accepted, the driving aptitude information output module 215 of the management server 101 outputs the driving aptitude information of the user (step S740).
Fig. 17 is an example of a driving aptitude evaluation table 1700. Figs. 18 and 19 are examples of driving aptitude information output screens 1800 and 1900.

A method for acquiring driving aptitude information will be described.
As shown in the driving aptitude evaluation table 1700, in this embodiment, driving aptitude is defined as five levels, from level 1 to level 5. For example, as shown in the output screen 1800(A), driving aptitude "Level 1" indicates that the driving aptitude is significantly low and that the driver is in a very dangerous state, unsuitable for driving a vehicle, etc. When the driving aptitude is "Level 1," it is recommended that the driver take sufficient rest. As shown in the output screen 1800(B), driving aptitude "Level 2" indicates that the driver's driving aptitude is low, caution is required when driving a vehicle, etc., and the driver is in a state unsuitable for driving. When the driving aptitude is "Level 2," a decline in physical condition or driving nerves is observed, and it is recommended that the driver take sufficient rest if any abnormality is felt.

As shown in output screen 1800(C), driving aptitude level 3 indicates that driving aptitude is somewhat low and that caution is required when driving a vehicle, etc. When driving aptitude is at level 3, there is no problem with driving, but it is recommended that you drive with caution, for example, because your concentration may be declining. Also, as shown in output screen 1900(D), driving aptitude level 4 indicates that driving aptitude is appropriate and there is no problem with driving, but some caution is required. When driving aptitude is at level 4, it is recommended that you take a short rest if you feel tired. As shown in output screen 1900(E), driving aptitude level 5 indicates that driving aptitude is high and it is recommended that you drive safely and pay attention as usual.

Driving aptitude can be uniquely determined from a combination of health information (here, QOL score) and motor characteristic information, for example, based on a driving aptitude assessment table 1700 such as that shown in FIG. 17. For example, if the health information is level A and the motor characteristic is level A, the driving aptitude assessment table 1700 will obtain a driving aptitude level of "5," which is associated with both the health information level "A" and the motor characteristic level "A."

The driving aptitude information output module 215 also works in conjunction with the user-side driving aptitude information output module 315 of the user terminal 102, and based on the driving aptitude information acquired in this manner, displays an output screen on the display of the user terminal 102 from pre-prepared output screens 1800(A)-(E) that displays the corresponding driving aptitude level. The driving aptitude information output module 215 displays the driving aptitude level and its explanation 1801, 1901, as well as selection buttons 1802, 1902 that are displayed upon registration, on each of the output screens 1800(A)-(E).

As shown in the driving aptitude evaluation table 1700, the driving aptitude information output module 215 is configured to output driving aptitude information indicating a higher aptitude for driving for users with higher health levels in the health information. Furthermore, the driving aptitude information output module 215 is configured to output driving aptitude information indicating a higher aptitude for driving for users with acquired motor characteristic information indicating higher motor characteristics. However, even if the driving aptitude information output module 215 acquires health information indicating a high level of health for a user, if the motor characteristics do not meet a predetermined standard, the driving aptitude information output module 215 outputs driving aptitude information indicating a relatively low aptitude for driving for users with relatively low driving aptitude. For example, if the motor characteristics are level A and the health information is level C, the driving aptitude information output module 215 outputs level 3 as driving aptitude information, but if the health information is level A and the motor characteristics are level C, the driving aptitude information output module 215 outputs level 2 as driving aptitude information, outputting relatively lower aptitude information for the latter case than for the former case.

Figure 20 is an example of a registration completion screen 2000. When the driving aptitude information output module 215 receives selection of the selection button 1802, it outputs the registration completion screen 2000 and registers the driving aptitude information for that day in the auxiliary storage device 202. According to this driving aptitude evaluation method of the present technology, it is possible to obtain driving aptitude information that takes into account not only the user's health information but also their motor characteristic information. This makes it possible to more appropriately evaluate the driver's driving aptitude.

Depending on the registered driving aptitude, the management server 101 can do the following:
- People with a driving aptitude evaluation result of 1 are in a state of health that is not suitable for driving, so their work can be managed to prevent them from driving. For example, this type of work management can include suspending their access rights to driving management systems, logistics management systems, etc., so that they cannot perform driving duties. Furthermore, in attendance management, they can be treated as on leave or paid vacation.
Since a person with a driving aptitude evaluation result of 2 is not considered to be in a state of health suitable for driving and requires caution, work can be managed so that the driver takes a rest if they experience any physical or mental abnormalities. Examples of such work management include requiring the driver to report their health status or undergo a driving aptitude evaluation using the driving aptitude evaluation system every predetermined time, and if the resulting health status is not a state where they are permitted to drive (e.g., an evaluation result of 2 or higher using the driving aptitude evaluation system), their access rights to the driving management system, logistics management system, etc. are suspended, making it impossible for them to continue driving. Furthermore, if an abnormality is found in the report or the results of the driving aptitude evaluation, the driver's subsequent driving work can be appropriately adjusted (e.g., contacting the delivery destination to allow for a delay in delivery time, arranging for a substitute driver, etc.).
-People with driving aptitude evaluation results of 3 or 4 are in a health condition that requires caution when driving, so they can be warned to take a rest if they feel even the slightest physical or mental fatigue. Examples of such work management include notifying drivers to take a rest every time a specified amount of time has passed, or recommending that they undergo a driving aptitude evaluation using this driving aptitude evaluation system.
A person with a driving aptitude evaluation result of 1 is in a state of health suitable for driving, but can be warned to always pay attention to their health. Examples of such work management include notifying the driver to take a break every predetermined time, but less frequently than in the case of an evaluation result of 3 or 4, or recommending that the driver undergo a driving aptitude evaluation using this driving aptitude evaluation system.
- This system can also be used to monitor the driver's health. It is known that drivers are prone to developing lifestyle-related diseases, and it has been pointed out that the accumulation of fatigue from work is a major cause of these diseases. It is also known that the development of lifestyle-related diseases significantly increases driving fatigue. Therefore, by continuously using this system, it is possible to not only evaluate the driver's driving aptitude on that day, but also to monitor the driver's health over the long term. As a result, it becomes possible to detect any tendency for the driver's health to deteriorate early, which in turn enables the early detection and treatment of diseases and their progression.

Furthermore, with the above configuration, the stress reduction module 213 outputs stress reduction content before the motion characteristics evaluation, thereby enabling the user's stress to be suitably reduced and driving aptitude to be evaluated in such a reduced stress state. As a result, for example, as shown by the oval in Figure 17, driving aptitude is suitably improved by performing exercises, etc., in accordance with the stress reduction content, compared to when exercises, etc., corresponding to the stress reduction content are not performed (solid oval). Note that many types of stress reduction content and motion characteristics evaluation content (e.g., 50 or more types, preferably 90 or more types) can be prepared to prevent the user from becoming accustomed to or bored with the content. In particular, it is preferable that the motion characteristics evaluation content be configured so that the type, appearance timing, appearance manner, etc. of hazard information as an external stimulus are randomly changed.

In the above embodiment, the content for evaluating motion characteristics is not limited to a driving video, but may be any content that can evaluate the user's motion characteristics and reflexes, for example.
In the above embodiment, the health information acquisition module 212 acquires only the average pulse rate from the pulse wave information. However, information other than the average pulse rate (e.g., arrhythmia information) may also be acquired from the pulse wave information.

In the above embodiment, for ease of explanation, the health information acquisition module 212 divided the pulse wave evaluation results into three levels and the medical interview results into five levels to obtain a three-level QOL score. Furthermore, the exercise information acquisition module 214 divided the exercise characteristics into three levels, and the driving aptitude information output module 215 obtained five-level driving aptitude information from the three-level QOL score and exercise characteristics. However, the number of categories for the above information is not limited to this example and can be adjusted as appropriate.

The present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

Furthermore, the above-mentioned configurations, functions, processing units, processing means, etc. may be realized in part or in whole in hardware, for example by designing them as integrated circuits. Furthermore, the above-mentioned configurations, functions, etc. may be realized in software by a processor interpreting and executing a program that realizes each function. Information such as the programs, tables, and files that realize each function can be stored in memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and do not necessarily show all the control lines and information lines in the product. In reality, it can be assumed that almost all components are interconnected.
The above-described embodiments disclose at least the configurations described in the claims.

1...Driving aptitude assessment system, 101...Management server, 102...User terminal, 103...Wearable terminal, 211...User terminal management module, 212...Health information acquisition module, 213...Stress reduction module, 214...Exercise information acquisition module, 215...Driving aptitude information output module, 311...User management module, 312...User-side health information acquisition module, 313...User-side stress reduction module, 314...User-side exercise information acquisition module, 315...User-side driving aptitude information output module, 316...Wearable terminal management module, 411...Wearable management module, 412...Sensor module

Claims (17)

a health information acquisition unit that acquires health information related to the user's health;
a stress reduction unit that outputs information that has the effect of reducing stress of a user;
a motion information acquisition unit that acquires motion characteristic information regarding the motion characteristics of a user;
a driving aptitude information output unit that outputs driving aptitude information indicating a user's aptitude for driving based on the health information and the motion characteristic information;
Equipped with
the stress reduction unit outputs information that has a greater effect of reducing stress as the health level decreases, based on the health information acquired by the health information acquisition unit;
The driving aptitude evaluation device, wherein the motion information acquisition unit outputs motion characteristic evaluation content for evaluating the user's motion characteristics after the stress reduction unit outputs information that has a greater effect of reducing stress the lower the health level, and acquires the motion characteristic information based on the response to the motion characteristic evaluation content . The driving aptitude assessment device of claim 1, wherein the health information acquisition unit acquires biometric information as the health information and acquires health information based on the biometric information. The driving aptitude assessment device of claim 2, wherein the health information acquisition unit acquires pulse wave information as the biological information and acquires health information based on the pulse wave information. The driving aptitude assessment device of claim 1 or 2, wherein the health information acquisition unit outputs health inquiry content and acquires health information based on responses to the health inquiry content. 3. The driving aptitude evaluation device according to claim 1, wherein the motion information acquisition unit outputs an external stimulus in the content for evaluating motion characteristics, and determines that the user's motion characteristics are higher if the reaction time to the external stimulus is shorter than a predetermined threshold. The driving aptitude evaluation device according to claim 1 or 2 , wherein the driving aptitude information output unit outputs driving aptitude information indicating that the user's aptitude for driving is higher when the health information indicating a higher level of health is acquired. The driving aptitude evaluation device according to claim 1 or 2 , wherein the driving aptitude information output unit outputs driving aptitude information indicating that the user's aptitude for driving is higher when the acquired motion characteristic information indicates higher motion characteristics. The driving aptitude evaluation device of claim 6, wherein the driving aptitude information output unit outputs driving aptitude information indicating that the user's aptitude for driving is low if the motor characteristics do not meet a predetermined standard, even if the health information indicating a high level of health is acquired. a health information acquisition step of acquiring health information relating to the user's health;
a stress reduction information output step of outputting information having an effect of reducing stress of the user;
a motion characteristic information acquisition step of acquiring motion characteristic information relating to the motion characteristics of the user;
a driving aptitude information output step of outputting driving aptitude information indicating a user's aptitude for driving based on the health information and the information regarding the motion characteristics ;
Including ,
In the stress reduction information output step, information that has a greater effect of reducing stress as the health level is lower is output based on the acquired health information,
A driving aptitude evaluation method in which, after information indicating that the lower the health level, the greater the effect of reducing stress is output, in the motor characteristic information acquisition step, motor characteristic evaluation content for evaluating the user's motor characteristics is output, and the motor characteristic information is acquired based on the response to the motor characteristic evaluation content . The driving aptitude evaluation method according to claim 9 , further comprising acquiring biological information as the health information, and acquiring health information based on the biological information. The driving aptitude evaluation method according to claim 10 , further comprising the steps of: acquiring pulse wave information as the biological information; and acquiring health information based on the pulse wave information. 11. The driving aptitude evaluation method according to claim 9, wherein the health information obtaining step includes outputting a health inquiry content, and obtaining the health information based on a response to the health inquiry content. 11. The driving aptitude evaluation method according to claim 9, wherein an external stimulus is output in the content for evaluating driving characteristics, and if a reaction time to the external stimulus is shorter than a predetermined threshold, the driving characteristics of the user are determined to be higher . The driving aptitude evaluation method according to claim 9 or 10 , wherein the driving aptitude information indicating a higher aptitude for driving of the user is output when the acquired health information indicates a higher health level. The driving aptitude evaluation method according to claim 9 or 10 , wherein the driving aptitude information indicating that the user's aptitude for driving is higher is output when the acquired motion characteristic information indicates that the motion characteristic is higher. The driving aptitude assessment method of claim 15, wherein even if the acquired health information indicates a high level of health, if the motor characteristics do not meet a predetermined standard, driving aptitude information indicating that the user's aptitude for driving is low is output. A program for causing a computer to execute each step of the driving aptitude evaluation method according to claim 9 .