Fitness action recognition method and system and electronic equipment

A motion recognition and motion recognition technology, applied in character and pattern recognition, pattern recognition in signals, motion accessories, etc., can solve problems such as the inability to effectively reflect the movement of the human body and the inability to judge the human body.

Inactive Publication Date: 2020-10-23
SHENZHEN INST OF ADVANCED TECH
View PDF18 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this patent only uses these data to distinguish whether the human body is in a motion state or a non-exercise state, and cannot judge what kind of motion the human body is doing, and cannot effectively reflect the motion status of the human body

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fitness action recognition method and system and electronic equipment
  • Fitness action recognition method and system and electronic equipment
  • Fitness action recognition method and system and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0052] see figure 1 , is a flow chart of the fitness action recognition method in the embodiment of the present application. The fitness action recognition method of the embodiment of the present application includes the following steps:

[0053] Step 100: collecting motion data (acceleration, angular velocity, magnetic intensity, etc.) and heart rate data during human motion through the nine-axis inertial sensor and the heart rate sensor;

[0054] In step 100, the motion data acquisition is completed by STM32 and MPU9250, both of which are connected through the IIC bus, and the MCU is set...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a fitness action recognition method and system and electronic equipment. The method comprises the following steps: step a, respectively acquiring motion data and heart rate data of a human body during motion through a nine-axis inertial sensor and a heart rate sensor, b, calculating the resultant acceleration, the resultant angular velocity, the roll angle and the real-time heart rate value of the nine-axis inertial sensor according to the motion data and the heart rate data by using a motion recognition algorithm, and c, identifying the fitness action according to thecharacteristics of the resultant acceleration, the resultant angular velocity and the roll angle of the nine-axis inertial sensor and the real-time heart rate value. According to the method, the fitness actions are recognized according to the characteristics of the exercise data and the real-time heart rate data, fast running and jogging are clearly recognized, the fitness efficiency of fitness crowds can be improved, and training of the fitness crowds can be better and more conveniently guided.

Description

technical field [0001] The present application belongs to the technical field of motion state recognition, and in particular relates to a fitness action recognition method, system and electronic equipment. Background technique [0002] At present, according to the different types of data studied, motion state recognition can be divided into the following two directions: [0003] 1) Motion state recognition based on image and video: This method mainly captures the motion category of the human body by analyzing and mining the data collected by the camera. Since the data collected by the camera is easily affected by factors such as weather, light, distance, and orientation, the scenes used are also very limited, and because the video image occupies a lot of storage space, it cannot be used for a long time. [0004] 2) Motion state recognition based on wearable devices: This method mainly collects data through the sensors in the wearable devices carried around and then analyzes...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A63B71/06G06K9/00
CPCA63B71/06A63B2220/34A63B2220/40A63B2220/836A63B2230/06A63B2220/62A63B2220/17G06V40/23G06F2218/14G06F18/00G06F2218/02A63B71/0686A63B2220/803
Inventor 赵国如郭贵昌宁运琨李慧奇王成黄连鹤
Owner SHENZHEN INST OF ADVANCED TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap