期刊论文详细信息
Proceedings
An Automated Method to Extract Three-Dimensional Position Data Using an Infrared Time-of-Flight Camera
Dunn, Marcus1 
关键词: depth-camera;    gait;    analysis;    home-based;   
DOI  :  10.3390/proceedings2060502
学科分类:社会科学、人文和艺术(综合)
来源: mdpi
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【 摘 要 】

Traditional motion capture systems can be prohibitive in healthcare settings from time, cost, space and user-expertise perspectives. Ideally, movement analysis technologies for healthcare should be low-cost, quick, simple and usable in small spaces. This study demonstrates a simple, low-cost and close-range time-of-flight depth-camera system, for automatic gait analysis. A method to automatically track three-dimensional position and orientation of retro-reflective marker-triads in real-time was developed. A marker-triad was applied to a participant (self-selected walking pace): thigh angle (wrt. global-vertical) was calculated. Trials were concurrently recorded using a motion capture system. Root-mean-square error was 2.5°, 1.3° and 2.2° for depth-camera distances of 0.8 m, 1.1 m and 1.4 m respectively. Results indicate that walking distances of 1.1 m are optimal for the current system. Further development and investigation into potential healthcare applications (e.g., low-cost, close-range gait analysis) is warranted.

【 授权许可】

CC BY   

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