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A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees
Zheng, Enhao ; Wang, Long ; Wei, Kunlin ; Wang, Qining
刊名ieee transactions on biomedical engineering
2014
关键词Capacitive sensing locomotion mode recognition lower-limb prosthesis noncontact wearable sensing quadratic discriminant classifier ANKLE-FOOT PROSTHESIS RECOGNITION DESIGN ALGORITHMS GAITS
DOI10.1109/TBME.2014.2334316
英文摘要This paper presents a noncontact capacitive sensing system (C-Sens) for locomotion mode recognition of transtibial amputees. C-Sens detects changes in physical distance between the residual limb and the prosthesis. The sensing front ends are built into the prosthetic socket without contacting the skin. This novel signal source improves the usability of locomotion mode recognition systems based on electromyography (EMG) signals and systems based on capacitance signals obtained from skin contact. To evaluate the performance of C-Sens, we carried out experiments among six transtibial amputees with varying levels of amputation when they engaged in six common locomotive activities. The capacitance signals were consistent and stereotypical for different locomotion modes. Importantly, we were able to obtain sufficiently informative signals even for amputees with severe muscle atrophy (i.e., amputees lacking of quality EMG from shank muscles for mode classification). With phase-dependent quadratic classifier and selected feature set, the proposed system was capable of making continuous judgments about locomotion modes with an average accuracy of 96.3% and 94.8% for swing phase and stance phase, respectively (Experiment 1). Furthermore, the system was able to achieve satisfactory recognition performance after the subjects redonned the socket (Experiment 2). We also validated that C-Sens was robust to load bearing changes when amputees carried 5-kg weights during activities (Experiment 3). These results suggest that noncontact capacitive sensing is capable of circumventing practical problems of EMG systems without sacrificing performance and it is, thus, promising for automatic recognition of human motion intent for controlling powered prostheses.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000345501000010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Biomedical; SCI(E); EI; 4; ARTICLE; zhengenhao@pku.edu.cn; longwang@pku.edu.cn; wei.kunlin@pku.edu.cn; qiningwang@pku.edu.cn; 12; 2911-2920; 61
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/154159]  
专题心理与认知科学学院
工学院
推荐引用方式
GB/T 7714
Zheng, Enhao,Wang, Long,Wei, Kunlin,et al. A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees[J]. ieee transactions on biomedical engineering,2014.
APA Zheng, Enhao,Wang, Long,Wei, Kunlin,&Wang, Qining.(2014).A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees.ieee transactions on biomedical engineering.
MLA Zheng, Enhao,et al."A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees".ieee transactions on biomedical engineering (2014).
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