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Feasibility of EMG-Based ANN Controller for a Real-Time Virtual Reality Simulation
Xiong AB(熊安斌); Lin GM(林光膜); Zhao XG(赵新刚); Han JD(韩建达); Liu GJ(刘光军)
作者部门机器人学研究室
会议名称6th IEEE International Conference on E-Learning in Industrial Electronics (ICELIE 2012)
会议日期October 25 - 28, 2012
会议地点Montreal, Canada
会议主办者IEEE Industrial Electronics Society
会议录名称6th IEEE International Conference on E-Learning in Industrial Electronics (ICELIE 2012)
出版者IEEE
出版地New York, USA
2012
页码6 pp.
收录类别EI ; CPCI(ISTP)
EI收录号20130515968552
WOS记录号WOS:000316962902051
产权排序1
ISSN号1553-572X
ISBN号978-1-4673-2421-2
摘要Estimation of the joint angle from the surface electromyography (sEMG) is a quite complex task due to the complicated relationship between the kinematical variables and the raw sEMG. In this paper, we build a sEMG-to-motion model with the artificial neural network (ANN) . EMG features, including Integral of absolute value (IA V), Zero crossing (ZC), Auto-regression coefficients (ARC), Median frequency (MDF), are extracted as the input of the ANN, and the output of the ANN is the operator's elbow joint angle and the wrist motion. In addition, a 3D upper extremity model, which is built in SolidW orks and then transformed into MA TLAB, will imitate the operator's motion simultaneously with the estimations of the ANN. Thus, we accomplish a virtual reality system to realize the real-time simulation and validate the effectiveness of the sEMGto- motion model. Experiment results show that the system achieves well in model accuracy, hardware compatibility and real time performance with a small mean square error of 1.921 degrees.
语种英语
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10200
专题机器人学研究室
通讯作者Xiong AB(熊安斌)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang, Liaoning, China
2.Graduate School of Chinese Academy of Sciences (CAS), Beijing, China
3.Department of Aerospace Engineering, Ryerson University, Toronto, Canada
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GB/T 7714
Xiong AB,Lin GM,Zhao XG,et al. Feasibility of EMG-Based ANN Controller for a Real-Time Virtual Reality Simulation[C]//IEEE Industrial Electronics Society. New York, USA:IEEE,2012:6 pp..
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