A Locomotion Intent Prediction System Based on Multi-Sensor Fusion

doi:10.3390/s140712349

CORC > 北京大学 > 工学院

	A Locomotion Intent Prediction System Based on Multi-Sensor Fusion
	Chen, Baojun ; Zheng, Enhao ; Wang, Qining
刊名	sensors basel
	2014
关键词	locomotion mode recognition locomotion transition detection sensor fusion linear discriminant analysis lower-limb prosthesis MULTIFUNCTION MYOELECTRIC CONTROL SENSOR FUSION TRANSTIBIAL PROSTHESIS KNEE PROSTHESIS WALKING ANKLE RECOGNITION ALGORITHMS TRACKING FRAMEWORK
DOI	10.3390/s140712349
英文摘要	Locomotion intent prediction is essential for the control of powered lower-limb prostheses to realize smooth locomotion transitions. In this research, we develop a multi-sensor fusion based locomotion intent prediction system, which can recognize current locomotion mode and detect locomotion transitions in advance. Seven able-bodied subjects were recruited for this research. Signals from two foot pressure insoles and three inertial measurement units (one on the thigh, one on the shank and the other on the foot) are measured. A two-level recognition strategy is used for the recognition with linear discriminate classifier. Six kinds of locomotion modes and ten kinds of locomotion transitions are tested in this study. Recognition accuracy during steady locomotion periods (i.e., no locomotion transitions) is 99.71% 0.05% for seven able-bodied subjects. During locomotion transition periods, all the transitions are correctly detected and most of them can be detected before transiting to new locomotion modes. No significant deterioration in recognition performance is observed in the following five hours after the system is trained, and small number of experiment trials are required to train reliable classifiers.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000340035700057&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Chemistry, Analytical; Electrochemistry; Instruments & Instrumentation; SCI(E); EI; PubMed; 1; ARTICLE; chenbaojun@pku.edu.cn; zhengenhao@pku.edu.cn; qiningwang@pku.edu.cn; 7; 12349-12369; 14
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153838]
专题	工学院
推荐引用方式 GB/T 7714	Chen, Baojun,Zheng, Enhao,Wang, Qining. A Locomotion Intent Prediction System Based on Multi-Sensor Fusion[J]. sensors basel,2014.
APA	Chen, Baojun,Zheng, Enhao,&Wang, Qining.(2014).A Locomotion Intent Prediction System Based on Multi-Sensor Fusion.sensors basel.
MLA	Chen, Baojun,et al."A Locomotion Intent Prediction System Based on Multi-Sensor Fusion".sensors basel (2014).