1. Vision skeleton trajectory based motion assessment system for healthcare rehabilitation
- Author
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Li-Jia Dong, Qing Lei, Tsung-Chih Hsiao, Qinghongya Shi, and Hong-Bo Zhang
- Subjects
business.product_category ,Computer science ,Feature extraction ,body skeleton ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Energy Engineering and Power Technology ,image sensors ,02 engineering and technology ,pattern regression problem ,image motion analysis ,pose estimation ,light camera ,motion quality ,regression analysis ,motion estimation ,symbols.namesake ,Motion estimation ,cameras ,0202 electrical engineering, electronic engineering, information engineering ,depth sensor ,digital camera ,Computer vision ,Image sensor ,joint trajectory feature ,Pose ,video signal processing ,Digital camera ,vision skeleton trajectory based motion assessment system ,business.industry ,feature extraction ,motion frequency ,General Engineering ,image sequences ,020206 networking & telecommunications ,Fourier transform ,image recognition ,Feature (computer vision) ,contact sensor ,infrared sensor ,lcsh:TA1-2040 ,Trajectory ,symbols ,020201 artificial intelligence & image processing ,Artificial intelligence ,skeleton joint trajectory ,business ,lcsh:Engineering (General). Civil engineering (General) ,Software - Abstract
Most existing methods of motion assessment system used the contact sensor, infrared sensor, and depth sensor, and few works provided the solution of digital camera. To solve this problem, the authors propose a new motion assessment system based on light camera. In this work, the motion assessment was regarded as pattern regression problem of skeleton joint trajectory. Firstly, the system uses the camera to capture the image sequences. The pose estimation method is used to obtain body skeleton from image. Secondly, due to the difference of motion frequency of each person, the length of the image sequences is different and the length of each joint trajectory also will be different. Fourier transform is applied to normalise the trajectory and use the coefficients of Fourier transform as the joint trajectory feature. Finally, the regression model is built to assess the motion quality. Some experimental results and discussion on action video data are used to verify the effectiveness of the system.
- Published
- 2020
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