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

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...

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 time, the current fatigue detection system does not recognize the user's ongoing activities

And under different activities, fatigue affects the human body differently. For example, when going downstairs, if the body is in a fatigued state, it will bear greater risks than walking in a fatigued state.

Images