A hybrid EMG model for the estimation of multijoint movement in activities of daily living

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

	A hybrid EMG model for the estimation of multijoint movement in activities of daily living
	Ding QC(丁其川); Zhao XG(赵新刚); Han JD(韩建达)
	2014
会议名称	2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
会议日期	September 28-30, 2014
会议地点	Beijing, China
关键词	surface electromyography Human-Robot Interface motion estimation pattern recognition
页码	1-6
中文摘要	Accurately identifying human's intent of motion from electromyography (EMG) signals is the key to implement EMG-based HRI (Human-Robot Interface) systems. Human's intent of motion includes motion modes and continuous movement variables. In this paper, a hybrid EMG-to-motion model is constructed by combining a classification model and a regression model. Based on a proper division for joints, the classification model is utilized to recognize the motion modes of 'small' joints; meanwhile, the regression model is utilized to estimate the continuous movement variables of 'big' joints. Furthermore, a Bayesian network (BN) model, which sufficiently employs context information of a task, is also involved into the hybrid model to improve its performances for motion estimation. Experiments have been conducted with three subjects to demonstrate the feasibility of the proposed methods. In these experiments, the motion modes of hand and wrist, and the continuous elbow angles are estimated with sEMG signals considering a 'drinking' task. Finally, an upper limb prosthetic is controlled to simulate human's movement in a 'drinking' task. © 2014 IEEE.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4799-6731-5
WOS记录号	WOS:000358878700120
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15684]
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	Ding QC,Zhao XG,Han JD. A hybrid EMG model for the estimation of multijoint movement in activities of daily living[C]. 见:2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014. Beijing, China. September 28-30, 2014.