摘要
高精度、快速地采集人体运动数据是人体步态测量的关键技术。试验根据人体解剖特征和正常人体步态特性,将人体划分为12块刚体(左右上臂、前臂、大腿、小腿、脚和上躯干、骨盆),总结人体运动捕捉测量中Marker点贴附的技术难点,并针对每个难点制定出相应的Marker点贴附及刚体的设计方案,同时制作与人体各部位形态匹配的12块刚体;使用NDI Optotrak Certus运动捕捉系统对3名志愿者进行步态试验,然后将三维捕捉系统所测数据导入Visual3D软件进行人体运动学仿真分析。结果表明使用基于人体多刚体的虚拟Marker方法后,步态测量试验的工作量大大减少(试验工作量减少了25%左右),试验的稳定性能也较全部贴实体Marker时有所提高。
It is a key technique for the human gait measurement to enhance the precision and stability of human movement data collection. Human body was recognized as a 12-rigid-body structure （right/left upper arm, forearm, thigh, calf, foot and upper trunk, pelvis） according to human body anatomical pattern and normal gait characteristics. The technical difficulties often met during human movement capture measuring experiments were summarized; and then corresponding solutions were made by adopting special marker attaching method and proper marker cluster designing. Meanwhile, 12 rigid bodies were manufactured in match with the shape of different parts. Gait parameters of three volunteers were collected by NDI Optotrak Certus motion capture system, and then the three-dimensional format files were input to the Visual 3D software to simulate the human gait and make kinematic analysis of the movements. By means of the virtual-marker-measuring method, the workload of gait motion capture measurement had significantly decreased （by 25%）, and the experimental stability was improved by a certain range compared with all practical marker.
出处
《中国组织工程研究与临床康复》
CAS
CSCD
北大核心
2008年第30期5833-5836,共4页
Journal of Clinical Rehabilitative Tissue Engineering Research
基金
国家自然科学基金资助项目(30530230
30470455)
上海市体育科技招标资助项目~~
