传感技术学报2011，Vol.24Issue(11)：1574-1578,5.DOI:10.3969/j.issn.1004-1699.2011.11.013
利用多源运动信息的下肢假肢多模式多步态识别研究
Multi-Mode and Gait Phase Recognition of Lower Limb Prosthesis Based on Multi-Source Motion Information
摘要
Abstract
Motion state recognition is crucial to the control of intelligent lower limb prosthesis. Taking advantage of the features of EMG, leg angle and plantar pressure, multi-mode and gait phase recognition of lower limb prosthesis was studied. Acquisition system of lower limb was established to get the multi-source motion information. Firstly, features of EMG were extracted by wavelet packet energy, and several HMMs were established to recognize the motion modes of lower limb. Then based on leg information and plantar pressure processed by threshold method,gait phases were analyzed by the fuzzy rule. The experimental results show that multi-mode and gait phase recognition of lower limb is recognized effectively, and the superiority of utilizing multi-information is validated.关键词
步态识别/多源信息/小波包/HMM/下肢假肢Key words
phase recognition/ multi-information/ wavelet packet/ HMM/ lower limb prosthesis分类
信息技术与安全科学引用本文复制引用
高云园,孟明,罗志增,佘青山..利用多源运动信息的下肢假肢多模式多步态识别研究[J].传感技术学报,2011,24(11):1574-1578,5.基金项目
浙江省科技计划项目(201003005,2010C33131) （201003005,2010C33131）
浙江省自然科学基金项目(Y1101230) （Y1101230）
国家自然科学基金项目(60903084,30800248) （60903084,30800248）
