Computer vision-based design of lower limb motor detection system
10.19745/j.1003-8868.2024024
- VernacularTitle:基于计算机视觉的下肢运动检测系统设计
- Author:
Yu-Jia ZHANG
1
;
Wei WANG
;
Han-Shu QIN
;
Lei HU
Author Information
1. 重庆医科大学附属第一医院信息中心,重庆 400016
- Keywords:
computer vision;
lower limb motion;
lower limb motor detection;
motion data computation;
OpenPose model
- From:
Chinese Medical Equipment Journal
2024;45(2):22-27
- CountryChina
- Language:Chinese
-
Abstract:
Objective To design lower limb motor detection system based on the computer vision and human key point detection neural network model to realize non-contact measurement of the lower limb motor.Methods Firstly,a motion data acquisition platform was built to acquire the lower limb motor images,and to extract the 2D image coordinates of the key points of the lower limb in each frame based on the OpenPose neural network model.Secondly,the spatial coordinates of the key points were determined based on the computer vision algorithm with the position information of the visual sensors in the motion data acquisition platform,so as to analyze the lower limb motor in three-dimensional space.Finally,the data compu-tation of the system in case of different motion speeds was discussed with cycling as an example and the motion data simulta-neously collected by the motion capture system as references.Results The Pearson's correlation coefficients of the data computed by the system and the data obtained by the motion capture system were 0.950,0.917,and 0.828 at cycling speeds of 0.8,1.3,and 2.1 m/s,respectively,which were all within the strong correlation range.Conclusion The system developed indicates the lower limb motor,and thus can be used for the lower limb motion detection.[Chinese Medical Equipment Journal,2024,45(2):22-27]
