Human motion abnormal posture monitoring method based on Intelligent Bracelet
Yizhong He · 2022
In order to overcome the problem of low classification accuracy and monitoring accuracy of sample data in traditional abnormal posture monitoring methods, a new human motion abnormal posture monitoring method based on Intelligent bracelet is proposed in this paper. Firstly, the structure of smart Bracelet sensor is analyzed, and Gabor transform method is used to collect human motion data. Secondly, based on the data acquisition results, the appearance model of abnormal posture monitoring of human motion is constructed, and the output result of the model is the abnormal posture monitoring result of human motion. Finally, a comparative verification experiment is carried out. The experimental results show that compared with the traditional monitoring methods, the sample data classification accuracy of this method is higher, and it can accurately monitor the abnormal posture of human movement.