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利用多源运动信息的下肢假肢多模式多步态识别研究
引用本文: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.
作者姓名:高云园  孟明  罗志增  佘青山
作者单位:杭州电子科技大学自动化学院智能控制与机器人研究所,杭州,310018
基金项目:浙江省科技计划项目(2010C33005,2010C33131);浙江省自然科学基金项目(Y1101230);国家自然科学基金项目(60903084,30800248)
摘    要:运动状态识别对智能下肢假肢的控制非常关键,本文利用下肢表面肌电信号、腿部角度和足底压力信号在运动模式和步态分析中的优势和特点,对下肢假肢的多模式多步态识别进行研究.通过建立下肢运动信息系统,获取下肢多源运动信息.先提取下肢肌电信号的小波包能量作为特征,建立多个HMM对下肢假肢的运动模式进行识别;再根据大小腿和膝关节的角...

关 键 词:步态识别  多源信息  小波包  HMM  下肢假肢

Multi-mode and Gait Phase Recognition of Lower Limb Prosthesis Based on Multi-source Motion Information
GAO Yunyuan,MENG Ming,LUO Zhizeng,SHE Qingshan.Multi-mode and Gait Phase Recognition of Lower Limb Prosthesis Based on Multi-source Motion Information[J].Journal of Transduction Technology,2011,24(11):1574-1578.
Authors:GAO Yunyuan  MENG Ming  LUO Zhizeng  SHE Qingshan
Affiliation:(Intelligent Control & Robotics Institute,College of Automation,Hangzhou Dianzi University,Hangzhou 310018,China)
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.
Keywords:phase recognition  multi-information  wavelet packet  HMM  lower limb prosthesis
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