Motion recognition and fatigue detection method and system based on gait information

A technology of motion recognition and gait information, applied in character and pattern recognition, diagnostic signal processing, diagnostic recording/measurement, etc., can solve problems such as no fatigue, lack of objectivity, and inability to recognize user activities

Active Publication Date: 2017-09-29
CENT SOUTH UNIV
View PDF6 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Whether the human body is tired or not is usually judged by self-subjectivity in daily life, but this method lacks objectivity, and if it reaches the physiological extreme, it will produce the illusion of not being tired, which will cause safety hazards to the body and work
[0004] At the same

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
  • Motion recognition and fatigue detection method and system based on gait information
  • Motion recognition and fatigue detection method and system based on gait information
  • Motion recognition and fatigue detection method and system based on gait information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them.

[0077] Such as figure 1 As shown, a method for motion recognition and fatigue detection based on gait information provided by an embodiment of the present invention includes the following steps:

[0078] Step 1: Collect the user's current gait information.

[0079] Specifically, the preferred gait information in this embodiment includes three-axis acceleration, three-axis angular velocity, and three-axis attitude angles on the X, Y, and Z axes, respectively. Acceleration or three-axis angular velocity or three-axis attitude angle or their combination.

[0080] In some embodiments, the current gait information represents the gait information at the curr...

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 discloses a motion recognition and fatigue detection method and system based on gait information. The method includes the steps that current gait information of a user is acquired; the current gait information is subjected to data processing, a current motion behavior of the user and multiple classification results about whether the user is currently in a fatigue state or not are recognized according to multiple preset motion recognition and fatigue classification models, and the preset motion recognition and fatigue classification models are generated in the mode that the gait information generated when the user performs multiple motion behaviors in a non-fatigue state and the fatigue state serves as sample data, and the sample data is applied to a voting classification algorithm, based on integrated learning, in machine learning to be trained; the current motion behavior of the user and the final result about whether the user is currently in the fatigue state or not are acquired according to the classification results based on the principle that minorities submit to majorities. By means of the method, the injury risk caused by the user fatigue state under different motions is reduced, and the accuracy of motion recognition and fatigue detection is improved.

Description

technical field [0001] The invention belongs to the field of health detection, in particular to a method and system for motion recognition and fatigue detection based on gait information. Background technique [0002] When the human body is in a state of fatigue, muscle fatigue in the lower limbs will reduce the ability of the muscles to exert force, affect the response ability of the muscles at the joints, inhibit neural feedback and cooperation, and cause a decrease in the change in lower limb mechanics, thereby increasing the risk of falls or ACL injuries. risk. Therefore, detecting the degree of human fatigue can effectively reduce the occurrence of life, work and sports accidents caused by falls or overwork injuries of people (especially the elderly, athletes, firefighters, high-altitude workers and patients in rehabilitation training). [0003] Whether the human body is tired or not is usually judged subjectively in daily life, but this method lacks objectivity, and i...

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
IPC IPC(8): A61B5/11A61B5/16G06F3/0346G06K9/62
CPCA61B5/112A61B5/16G06F3/0346A61B5/72A61B5/7267G06F18/24323
Inventor 王露露黄志武郝帅余娉王瑞吕承璋李晗汤晅恒徐小康
Owner CENT SOUTH UNIV
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