A Wearable Human Motion Analysis System for Lower Limbs Rehabilitative Robot
This paper analyzes the human motion analysis system for lower limbs rehabilitative robot. In this paper, we focus on the design of motion analysis system for gait analysis during humans walking. The system was designed as a different sensors combination consisting of two gyroscope-chips that measure twodirection rotational velocities of the foot and a two-axis accelerometer-chip that can output two-direction accelerations of the foot during walking. Furthermore, a fuzzy inference system (FIS) was developed for the analysis of sensors outputs, which can estimate a gait phase analysis result. To get the decided gait phases change points of human walking, a digital filter was used to remove noises from the outputs of the fuzzy inference system. Finally, experimental study was conducted. A wearable mechanism with the sensors system was constructed, and some experiments about detection gait phases of the normal human walking were finished.
rehabilitative robot motion analysis fuzzy inference
Hongche Guo Ziming Wang Qingding Guo
Shenyang University of Technology Shenyang P.R.China 110023
国际会议
北京
英文
39-42
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）