Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal
	Zhao XG(赵新刚); Wang, Rui; Ye D(叶丹)
	2015
会议名称	27th Chinese Control and Decision Conference, CCDC 2015
会议日期	May 23-25, 2015
会议地点	Qingdao, China
关键词	sEMG Acceleration Signals Motion Intention Estimation Support Vector Machine (SVM)
页码	4414-4418
中文摘要	Lower extremity exoskeleton robot can assist the person standing and walking which are important functions for the disabled or old people who can not make move by themselves. The priority task for exoskeleton robot is to get the movement intentions of wearer. This paper proposes an intention estimation method of lower limbs motion based on multi-types signals including surface electromyography (sEMG) and 3-axis acceleration data. 5 channels sEMG and 3-axis acceleration were collected at the 5 same points from able-bodied and the disabled people respectively. After preprocessed and normalized, different features were extracted from the obtained signals. Support vector machine (SVM) was utilized for motion classification, where features of sEMG signals and acceleration signals were taken as input respectively. We also tested the fusion features of the both signals. Furthermore, compared experiments were carried for the disabled and normal people. Results demonstrated that the proposed method was effective for able-bodied people, while the accuracy of the method for disabled people need to be further improved.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4799-7016-2
WOS记录号	WOS:000375232905147
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/17194]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Zhao XG,Wang, Rui,Ye D. Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015.