A new strategy for parameter optimization to improve phase-dependent   locomotion mode recognition

doi:10.1016/j.neucom.2014.08.016

CORC > 北京大学 > 工学院

	A new strategy for parameter optimization to improve phase-dependent locomotion mode recognition
	Chen, Baojun ; Zheng, Enhao ; Wang, Qining ; Wang, Long
刊名	neurocomputing
	2015
关键词	Phase-dependent recognition Locomotion mode recognition Parameter optimization Wearable sensing system MULTIFUNCTION MYOELECTRIC CONTROL TIME INTENT RECOGNITION CLASSIFICATION SCHEME SURFACE EMG UPPER-LIMB SYSTEM HAND ACCELEROMETER PROSTHESIS
DOI	10.1016/j.neucom.2014.08.016
英文摘要	Phase-dependent recognition strategy is an effective approach for lower-limb locomotion mode recognition. However, in previous studies, classifiers, feature sets and other parameters for the classification are the same for all the phases. The potential of this method could therefore be limited, as movement characteristics of different phases are not the same. In this paper, we aim to further improve phase-dependent recognition by proposing a new parameter optimization strategy which optimizes classifier, feature set and window size individually for each phase. Seven able-bodied subjects and one transtibial amputee subject are recruited in this research and they are required to perform six kinds of locomotion tasks. Signals recorded from two inertial measurement units and one pressure insole of the measured side are used for feature set calculation. And phase-dependent recognition method with four phases defined is applied for locomotion mode identification. The proposed strategy for parameter optimization is proved to be more efficient than the conventional optimization strategy by providing better overall recognition performance and lower computation burden. (C) 2014 Elsevier B.V. All rights reserved.; Computer Science, Artificial Intelligence; SCI(E); EI; 0; ARTICLE; qiningwang@pku.edu.cn; 585-593; 149
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/154101]
专题	工学院
推荐引用方式 GB/T 7714	Chen, Baojun,Zheng, Enhao,Wang, Qining,et al. A new strategy for parameter optimization to improve phase-dependent locomotion mode recognition[J]. neurocomputing,2015.
APA	Chen, Baojun,Zheng, Enhao,Wang, Qining,&Wang, Long.(2015).A new strategy for parameter optimization to improve phase-dependent locomotion mode recognition.neurocomputing.
MLA	Chen, Baojun,et al."A new strategy for parameter optimization to improve phase-dependent locomotion mode recognition".neurocomputing (2015).