摘要
研究了一种由 CCD摄像机、三维测力台及表面肌电信号检测装置组成的人体步态在线检测系统。在该系统中图像、力和表面肌电信号都由一台计算机实时采集。采用普通监控用图像设备和边缘检测、模板匹配等方法识别运动图像中的标志点 ,降低了系统硬件成本和对测试背景的要求。初步应用结果表明 :系统同步性能好 ,空间分辨率小于0 .2 %。该系统不仅适合于临床进行步态分析 ,而且也可用作其他与人体运动姿态有关研究的检测平台。
A system is presented for human gait on line detection using CCD cameras, 3 D force plates, and surface EMG detection devices. The system acquires images and force and surface EMG signals on line in one computer. General vision facilities with an edge detection method and template matching were used to recognize markers in the motion images and to reduce the hardware costs and experimental background requirements. Preliminary results indicated that the excellent system synchronization performance had a space resolution rate of less than 0.2%. The system can be used not only for clinical gait analysis, but also as a detection platform for other research related to human motion and posture.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2002年第2期165-167,共3页
Journal of Tsinghua University(Science and Technology)
基金
国家自然科学基金资助项目 ( 5 990 5 0 15 )
国家"九五"科技攻关项目 ( 96 -92 0 -2 0 -14 )
重庆大学机械传动国家重点室访问学者基金项目