CN106913325A - Step-recording method and device - Google Patents

Abstract

The present disclosure relates to a method and device for counting steps. The method includes: acquiring the current heart rate and exercise frequency; determining the matching between the current heart rate and exercise frequency according to the corresponding relationship between the heart rate and the exercise frequency obtained from statistics on the current user; When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid. The technical solution can prevent the user from cheating and more accurately record the user's steps.

Description

Pedometer method and device

technical field

The present disclosure relates to the technical field of wearable devices, in particular to a step counting method and device.

Background technique

Smart wearable devices such as smart bracelets can record real-time data such as exercise, sleep, and diet in the user's daily life, and synchronize these data with terminal devices to guide users to live a healthy life through data. At present, in terms of physical exercise, smart wearable devices have a step counting function, which can count the user's steps, help users control the amount of exercise, and prevent insufficient or excessive exercise.

Contents of the invention

Embodiments of the present disclosure provide a step counting method and device. Described technical scheme is as follows:

According to a first aspect of an embodiment of the present disclosure, a step counting method is provided, including:

Get the current heart rate and exercise frequency;

According to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, determine the matching situation between the current heart rate and the exercise frequency;

When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: In this embodiment, according to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, it can be determined that the obtained current heart rate matches the exercise frequency, that is, the intelligent When the wearable device is worn by the current user, it is determined that the currently recorded user's steps are valid. In this way, the user can be prevented from cheating and the current user's steps can be recorded more accurately.

In one embodiment, the motion frequency includes at least one of motion speed and arm swing frequency.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: the exercise frequency in this embodiment may be a variety of data, which are used in conjunction with the heart rate to determine whether the smart wearable device is worn by the user, expanding the scope of use.

In one embodiment, the corresponding relationship between the heart rate and the exercise frequency obtained by statistics of the current user includes:

The corresponding relationship between the heart rate and exercise frequency is determined according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment. The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: this embodiment can determine the correspondence between the heart rate and the exercise frequency according to historical data, ensure the accuracy of the correspondence, and further ensure that it can be accurately determined based on this The validity of the currently recorded user steps.

In one embodiment, the method also includes:

According to the heart rate and exercise frequency obtained in the historical period and corresponding to the valid step count of the user, adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: this embodiment can adjust the corresponding relationship between the heart rate and the exercise frequency according to the heart rate and exercise frequency obtained in the historical period and corresponding to the user's step count is valid , so that the adjusted relationship between the heart rate and the exercise frequency is more in line with the user's body movement rules and more accurate for the user. In this way, the validity of the currently recorded user's steps can be more accurately determined.

In one embodiment, the method also includes:

When the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: this embodiment can determine that the smart wearable device is not worn by the user when the matching situation is that the current heart rate and exercise frequency do not match, and determine the currently recorded number of steps of the user Ineffective, in this way, the user can be prevented from cheating, and the number of steps of the user can be recorded more accurately.

According to a second aspect of an embodiment of the present disclosure, a step counting device is provided, including:

An acquisition module, used to acquire the current heart rate and exercise frequency;

The first determination module is used to determine the matching situation of the current heart rate and exercise frequency according to the corresponding relationship between the heart rate and the exercise frequency obtained through statistics on the current user;

The second determining module is configured to determine that the currently recorded user steps are valid when the matching situation is the matching of the current heart rate and exercise frequency.

In one embodiment, the motion frequency includes at least one of motion speed and arm swing frequency.

In one embodiment, the first determining module further includes:

The determining submodule is configured to determine the corresponding relationship between the heart rate and exercise frequency according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment.

In one embodiment, the device also includes:

The adjustment module is configured to adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics for the current user according to the heart rate and exercise frequency obtained in the historical period and corresponding to the user's step count being valid.

In one embodiment, the device also includes:

The third determining module is configured to determine that the currently recorded user steps are invalid when the matching situation is that the current heart rate and exercise frequency do not match.

According to a third aspect of an embodiment of the present disclosure, there is provided a pedometer, comprising:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured as:

Get the current heart rate and exercise frequency;

According to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, determine the matching situation between the current heart rate and the exercise frequency;

When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.

Fig. 1 is a flow chart of a step counting method according to an exemplary embodiment.

Fig. 2 is a flow chart of a step counting method according to an exemplary embodiment.

Fig. 3 is a flow chart of a step counting method according to an exemplary embodiment.

Fig. 4 is a block diagram of a pedometer device according to an exemplary embodiment.

Fig. 5 is a block diagram of a pedometer device according to an exemplary embodiment.

Fig. 6 is a block diagram of a pedometer device according to an exemplary embodiment.

Fig. 7 is a block diagram of a pedometer device according to an exemplary embodiment.

Fig. 8 is a block diagram of a pedometer device according to an exemplary embodiment.

detailed description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

At present, in order to promote users to use the purchased wearable devices, smart wearable device companies generally conduct user activities through step count PK. In order to win event prizes, general users will cheat in various ways, such as wearing a pet Or on a bicycle wheel for an extremely high step count.

In order to prevent the user from cheating and record the user's steps more accurately, this embodiment can obtain the current heart rate and exercise frequency; according to the corresponding relationship between the current user's heart rate and exercise frequency, determine the matching of the current heart rate and exercise frequency When the current user wears the smart wearable device, the obtained current heart rate and exercise frequency can meet the corresponding relationship between the heart rate and exercise frequency obtained from the statistics of the current user, so the matching of the current heart rate and exercise frequency can satisfy the In the corresponding relationship, it is determined that the smart wearable device is worn by the current user, and at this time it is determined that the currently recorded user's steps are valid, so that the user can be prevented from cheating and the current user's steps can be recorded more accurately.

Fig. 1 is a flow chart of a method for counting steps according to an exemplary embodiment. As shown in Fig. 1, the method for counting steps is used in devices such as smart wearable devices, and includes the following steps 101 to 103:

In step 101, the current heart rate and exercise frequency are obtained.

In step 102, according to the corresponding relationship between the heart rate and the exercise frequency obtained through the statistics of the current user, the matching situation of the current heart rate and the exercise frequency is determined.

In step 103, when the matching condition is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

In this embodiment, the user's heartbeat will reach different frequencies when exercising at different exercise frequencies. Usually, when the user walks slowly, the heartbeat frequency, that is, the heart rate will also be slower. When the user walks briskly or jogging, the heart rate It will be faster, that is, a higher heart rate corresponds to a faster exercise frequency. Therefore, the smart wearable device can pre-store the corresponding relationship between the heart rate and the exercise frequency, and determine whether the smart wearable device is worn by the user according to the corresponding relationship.

In this embodiment, taking the smart wearable device as a smart bracelet as an example, the smart bracelet has the function of testing the user's heart rate and exercise frequency. If the user wears the smart bracelet for walking or jogging, the smart bracelet can detect The user's current heart rate and exercise frequency. The smart bracelet can determine that the current heart rate and exercise frequency meet the corresponding relationship according to the corresponding relationship between the heart rate and exercise frequency obtained from the statistics of the current user, that is, determine that the current heart rate and exercise frequency match. It indicates that the smart bracelet is worn by the user. At this time, the smart bracelet determines that the currently recorded user steps are valid, and counts the currently recorded user steps.

What needs to be explained here is that the corresponding relationship between heart rate and exercise frequency can be set by the user according to his actual situation. For example, the user can set an approximate relationship between heart rate and exercise frequency according to his physical condition and exercise frequency ; or the corresponding relationship between heart rate and exercise frequency can also be the factory-set data in the smart wear settings.

In this embodiment, according to the corresponding relationship between the heart rate and exercise frequency obtained from the statistics of the current user, it can be determined that the obtained current heart rate and exercise frequency match, that is, when the smart wearable device is determined to be worn by the user, the currently recorded user's pace can be determined. The number is valid, so that the user can be prevented from cheating and the user's steps can be recorded more accurately.

In a possible implementation manner, the motion frequency includes at least one of motion speed and arm swing frequency.

In this embodiment, the movement frequency can be the movement speed, that is, the movement distance per unit time, and the movement frequency can also be the arm swing frequency, that is, the number of arm swings per unit time, or the movement frequency can also be the movement speed and the arm swing frequency.

The exercise frequency in this embodiment can be a variety of data, which can be used in conjunction with the heart rate to determine whether the smart wearable device is worn by the user, expanding the scope of use.

In a possible implementation manner, step 102 in the step counting method disclosed above may also be implemented as step A1.

In step A1, the corresponding relationship between the heart rate and exercise frequency is determined according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment.

In this embodiment, the smart wearable device can obtain a large amount of historical data of the current user from the server, that is, the exercise frequency corresponding to the heart rate of the current user at each historical moment, and the smart wearable device can perform statistics on the historical data of the current user to obtain the current user The heart rate interval corresponds to the exercise frequency interval.

In this embodiment, taking the movement frequency as the movement speed and arm swing frequency as an example, the smart wearable device can calculate that when the heart rate is below 60 beats/min, the movement speed is less than or equal to 2m/s, and the arm swing frequency is less than or equal to 2/s times; when the heart rate is 60-80 times/min, the movement speed is less than or equal to 3m/s, the arm swing frequency is 3/s times, and so on.

In this embodiment, the corresponding relationship between the heart rate and the exercise frequency can be determined according to the historical data, so as to ensure the accuracy of the corresponding relationship, and further ensure the validity of the currently recorded user steps to be accurately determined accordingly.

In a possible implementation manner, the step counting method disclosed above further includes: Step B1.

In step B1, adjust the corresponding relationship between the heart rate and exercise frequency obtained from the current user statistics according to the heart rate and exercise frequency obtained in the historical period and corresponding to the user's step count being valid.

In this embodiment, the initial correspondence between heart rate and exercise frequency in the smart wearable device can be a small amount of statistics on the current user. Weared by the user, the smart wearable device can continuously adjust the corresponding relationship between the heart rate and the exercise frequency according to the user's heart rate and exercise frequency. For example, the smart wearable device can take a week as a cycle, and at the end of the week, obtain the heart rate and exercise frequency corresponding to the user's step count obtained this week, that is, the heart rate and exercise frequency obtained this week when the user wears the smart wearable device. Exercise frequency, and adjust the corresponding relationship between heart rate and exercise frequency according to the obtained data, so that the adjusted corresponding relationship between heart rate and exercise frequency is more in line with the user's physical exercise law.

In this embodiment, according to the heart rate and exercise frequency obtained in the historical period and corresponding to the user's steps when the number of steps is valid, adjust the corresponding relationship between the heart rate and exercise frequency obtained from the statistics of the current user, so that the adjusted heart rate and exercise frequency The corresponding relationship of is more in line with the body movement rules of the user and is more accurate for the user. In this way, the validity of the user's step count currently recorded can be more accurately determined.

In a possible implementation manner, the step counting method disclosed above further includes: C1.

In step C1, when the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid.

In this embodiment, if the user wears the smart bracelet on a pet or on a bicycle, the smart bracelet can detect the current heart rate and exercise frequency, because the heart rate of a general pet is faster than that of a human, or the pet sometimes The exercise frequency is faster than that of humans, and the exercise frequency of bicycles is much faster than that of humans. At this time, the current heart rate may exceed the heart rate of the current user, or the current operating frequency exceeds the operating frequency of the current user, or the current heart rate The corresponding relationship with the exercise frequency is different from the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user. At this time, the smart bracelet can determine the current heart rate and exercise frequency according to the corresponding relationship between the heart rate and the exercise frequency of the current user. If the corresponding relationship is not satisfied, it is determined that the current heart rate does not match the exercise frequency, indicating that the smart bracelet is not worn by the user. At this time, the number of user steps currently recorded by the smart bracelet is invalid. Counting, in this way, can effectively prevent users from cheating.

In this embodiment, when the matching situation is that the current heart rate and exercise frequency do not match, it can be determined that the smart wearable device is not worn by the user, and that the currently recorded user steps are invalid, so that the user can be prevented from cheating and the user can be more accurately recorded. the number of steps.

The implementation process will be described in detail below through several embodiments.

Fig. 2 is a flow chart of a step counting method according to an exemplary embodiment. As shown in Fig. 2 , the method may be implemented by devices such as terminals, and includes steps 201 to 205.

In step 201, the corresponding relationship between the heart rate and the exercise frequency is determined according to the statistical historical data of the current user, the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment; the exercise frequency Including at least one of motion speed and arm swing frequency.

In step 202, the current heart rate and exercise frequency are obtained.

In step 203, according to the corresponding relationship between the heart rate and the exercise frequency obtained through the statistics of the current user, the matching situation of the current heart rate and the exercise frequency is determined.

In step 204, when the matching condition is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

In step 205, when the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid.

In this embodiment, the corresponding relationship between the heart rate and the exercise frequency can be determined according to the historical data, so as to ensure the accuracy of the corresponding relationship, and further ensure that when it is determined that the smart wearable device is worn by the user, the current The recorded user's steps are valid, so that the user can be prevented from cheating and the user's steps can be recorded more accurately.

Fig. 3 is a flow chart of a method for counting steps according to an exemplary embodiment. As shown in Fig. 3 , the method may be implemented by devices such as a terminal, and includes steps 301 to 306.

In step 301, the corresponding relationship between the heart rate and the exercise frequency is determined according to the statistical historical data of the current user, the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment; the exercise frequency Including at least one of motion speed and arm swing frequency.

In step 302 , according to the heart rate and exercise frequency obtained in the historical period and corresponding to the valid step count of the user, the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user is adjusted.

In step 303, the current heart rate and exercise frequency are acquired.

In step 304, according to the corresponding relationship between the heart rate and the exercise frequency obtained through the statistics of the current user, the matching situation of the current heart rate and the exercise frequency is determined.

In step 305, when the matching condition is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

In step 306, when the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid.

It should be noted here that the smart wearable device may continuously perform step 302 to continuously adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user.

In this embodiment, after the user has used it for a period of time, according to the heart rate and exercise frequency obtained during this period of time and corresponding to the user's step count when it is valid, the corresponding relationship between the heart rate and exercise frequency obtained from the statistics of the current user can be adjusted , so that the adjusted relationship between the heart rate and the exercise frequency is more in line with the user's body movement rules and more accurate for the user. In this way, the validity of the currently recorded user's steps can be more accurately determined.

The following are device embodiments of the present disclosure, which can be used to implement the method embodiments of the present disclosure.

Fig. 4 is a block diagram of a pedometer device according to an exemplary embodiment. The device can be implemented as part or all of an electronic device through software, hardware or a combination of the two. As shown in Figure 4, the step counting device includes: an acquisition module 401, a first determination module 402 and a second determination module 403; wherein:

An acquisition module 401, configured to acquire the current heart rate and exercise frequency;

The first determination module 402 is used to determine the matching situation of the current heart rate and exercise frequency according to the corresponding relationship between the heart rate and the exercise frequency obtained through statistics on the current user;

The second determination module 403 is configured to determine that the currently recorded user steps are valid when the matching situation is that the current heart rate matches the exercise frequency.

As a possible embodiment, the motion frequency in the pedometer disclosed above includes at least one of motion speed and arm swing frequency.

As a possible embodiment, the above-mentioned disclosed pedometer device can also configure the first determination module 402 to include a determination sub-module 4021. FIG. 5 is a block diagram related to the above-mentioned pedometer device, wherein:

The determination sub-module 4021 is configured to determine the correspondence between the heart rate and exercise frequency according to historical data, the historical data including the exercise frequency corresponding to the heart rate of each user at each historical moment.

As a possible embodiment, the pedometer device disclosed above may also be configured to include an adjustment module 404. FIG. 6 is a block diagram related to the pedometer device above, wherein:

The adjustment module 404 is configured to adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user according to the heart rate and exercise frequency obtained in the historical period and corresponding to the user's step count being valid.

As a possible embodiment, the pedometer device disclosed above may also be configured to include a third determining module 405. FIG. 7 is a block diagram related to the pedometer device above, wherein:

The third determination module 405 is configured to determine that the currently recorded user steps are invalid when the matching condition is that the current heart rate and exercise frequency do not match.

Regarding the apparatus in the foregoing embodiments, the specific manner in which each module executes operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

Fig. 8 is a block diagram of a pedometer device according to an exemplary embodiment, which is suitable for smart wearable devices. For example, device 800 may be a smart bracelet, a smart watch, or the like. Referring to FIG. 8 , the apparatus 800 includes a processing component 801 , which further includes one or more processors, and a memory resource represented by a memory 802 for storing instructions executable by the processing component 801 , such as application programs. The application program stored in memory 802 may include one or more modules each corresponding to a set of instructions. In addition, the processing component 801 is configured to execute instructions to perform the above method to count steps.

The device 800 may also include a power supply component 803 configured to perform power management of the device 800, a wired or wireless network interface 804 configured to connect the device 800 to a network, and an input output (I/O) interface 805 for the processing component 801 An interface is provided between the peripheral interface module, which may be a click wheel, a button, etc. and a sensor component 806 including one or more sensors for providing the device 800 with the current heart rate and exercise frequency. The apparatus 800 can operate based on an operating system stored in the memory 802, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

The non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the device 800, enables the device 800 to perform the above step counting method, the method includes:

Get the current heart rate and exercise frequency;

According to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, determine the matching situation between the current heart rate and the exercise frequency;

When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

The instructions in the storage medium may also include:

The motion frequency includes at least one of motion speed and arm swing frequency.

The instructions in the storage medium may also include:

The corresponding relationship between the heart rate and exercise frequency obtained by statistics of the current user includes:

The corresponding relationship between the heart rate and exercise frequency is determined according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment.

The instructions in the storage medium may also include:

The method also includes:

According to the heart rate and exercise frequency obtained in the historical period and corresponding to the valid step count of the user, adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user.

The instructions in the storage medium may also include:

The method also includes:

When the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid.

The present disclosure also provides a step counting device, comprising:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured as:

Get the current heart rate and exercise frequency;

According to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, determine the matching situation between the current heart rate and the exercise frequency;

When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.

The processor can also be configured to:

The motion frequency includes at least one of motion speed and arm swing frequency.

The processor can also be configured to:

The corresponding relationship between the heart rate and exercise frequency obtained by statistics of the current user includes:

The corresponding relationship between the heart rate and exercise frequency is determined according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment.

The processor can also be configured to:

The method also includes:

According to the heart rate and exercise frequency obtained in the historical period and corresponding to the valid step count of the user, adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user.

The processor can also be configured to:

The method also includes:

When the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, and these modifications, uses or adaptations follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure . The specification and examples are to be considered exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It should be understood that the present disclosure is not limited to the precise constructions which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (11)

1. A step counting method, characterized in that, comprising: Get the current heart rate and exercise frequency; According to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, determine the matching situation between the current heart rate and the exercise frequency; When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid. 2. The method according to claim 1, wherein the motion frequency comprises at least one of motion speed and swing arm frequency. 3. The method according to claim 1, wherein the corresponding relationship between the heart rate and the exercise frequency obtained by the statistics of the current user comprises: The corresponding relationship between the heart rate and exercise frequency is determined according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment. 4. The method according to claim 1, wherein the method further comprises: According to the heart rate and exercise frequency obtained in the historical period and corresponding to the valid step count of the user, adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics of the current user. 5. The method according to claim 1, wherein the method further comprises: When the matching situation is that the current heart rate does not match the exercise frequency, it is determined that the currently recorded user steps are invalid. 6. A step counting device, characterized in that it comprises: An acquisition module, used to acquire the current heart rate and exercise frequency; The first determination module is used to determine the matching situation of the current heart rate and exercise frequency according to the corresponding relationship between the heart rate and the exercise frequency obtained through statistics on the current user; The second determining module is configured to determine that the currently recorded user steps are valid when the matching situation is the matching of the current heart rate and exercise frequency. 7. The device according to claim 6, wherein the motion frequency comprises at least one of motion speed and swing arm frequency. 8. The device according to claim 6, wherein the first determining module further comprises: The determining submodule is configured to determine the corresponding relationship between the heart rate and exercise frequency according to the historical data collected on the current user, and the historical data includes the exercise frequency corresponding to the heart rate of the current user at each historical moment. 9. The device according to claim 6, further comprising: The adjustment module is configured to adjust the corresponding relationship between the heart rate and the exercise frequency obtained from statistics for the current user according to the heart rate and exercise frequency obtained in the historical period and corresponding to the user's step count being valid. 10. The device according to claim 6, further comprising: The third determining module is configured to determine that the currently recorded user steps are invalid when the matching situation is that the current heart rate and exercise frequency do not match. 11. A pedometer, characterized in that it comprises: processor; memory for storing processor-executable instructions; Wherein, the processor is configured as: Get the current heart rate and exercise frequency; According to the corresponding relationship between the heart rate and the exercise frequency obtained from the statistics of the current user, determine the matching situation between the current heart rate and the exercise frequency; When the matching situation is that the current heart rate matches the exercise frequency, it is determined that the currently recorded user steps are valid.