Li et al., 2022 - Google Patents

Detection of Human Energy Consumption in Sports Based on MEMS Sensor

Li et al., 2022

View PDF @Full View
Document ID
11729240534394693021
Author
Li P
Zhou J
Publication year
Publication venue
Mobile Information Systems

External Links

Snippet

In order to explore the problem of human energy consumption in sports, a method based on MEMS sensor is proposed. Firstly, the data of the whole system is analyzed, including acceleration signal preprocessing, data fusion between accelerometer and gyroscope using …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1112—Global tracking of patients, e.g. by using GPS

Similar Documents

Publication Publication Date Title
Lim et al. Fall‐Detection Algorithm Using 3‐Axis Acceleration: Combination with Simple Threshold and Hidden Markov Model
Mao et al. Highly portable, sensor-based system for human fall monitoring
Buke et al. Healthcare algorithms by wearable inertial sensors: a survey
Liu et al. A wearable human motion tracking device using micro flow sensor incorporating a micro accelerometer
Lin et al. Innovative head-mounted system based on inertial sensors and magnetometer for detecting falling movements
Zhuang et al. Design of human activity recognition algorithms based on a single wearable IMU sensor
Hu et al. A human body posture recognition algorithm based on BP neural network for wireless body area networks
Jin A review of AI Technologies for Wearable Devices
Wang et al. A system of human vital signs monitoring and activity recognition based on body sensor network
Qi et al. Ellipse fitting model for improving the effectiveness of life‐logging physical activity measures in an Internet of Things environment
Yuan et al. Wearable leg movement monitoring system for high-precision real-time metabolic energy estimation and motion recognition
Fan et al. Wearable motion attitude detection and data analysis based on Internet of Things
Yang et al. Smart wearable monitoring system based on multi-type sensors for motion recognition
Yuan et al. Adaptive recognition of motion posture in sports video based on evolution equation
Jian Industrial design of wearable intelligent devices based on wireless networks
Liu et al. Preimpact fall detection for elderly based on fractional domain
Bora et al. Implementation of wireless MEMS sensor network for detection of gait events
Shi et al. Wearable device monitoring exercise energy consumption based on Internet of things
Chang et al. An environmental-adaptive fall detection system on mobile device
Li et al. Detection of Human Energy Consumption in Sports Based on MEMS Sensor
Li et al. [Retracted] Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor
Li et al. A survey of fall detection model based on wearable sensor
Lv et al. Athletic sports posture measurement algorithm based on multi-sensor combination
Jeewandara et al. An Efficient Machine Learning Based Elderly Monitoring System
Zhang et al. [Retracted] Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor