SIA OpenIR  > 机器人学研究室
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)
Department机器人学研究室
Conference Name6th IEEE International Conference on E-Learning in Industrial Electronics (ICELIE 2012)
Conference DateOctober 25 - 28, 2012
Conference PlaceMontreal, Canada
Author of SourceIEEE Industrial Electronics Society
Source Publication6th IEEE International Conference on E-Learning in Industrial Electronics (ICELIE 2012)
PublisherIEEE
Publication PlaceNew York, USA
2012
Pages6 pp.
Indexed ByEI ; CPCI(ISTP)
EI Accession number20130515968552
WOS IDWOS:000316962902051
Contribution Rank1
ISSN1553-572X
ISBN978-1-4673-2421-2
AbstractEstimation 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.
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10200
Collection机器人学研究室
Corresponding AuthorXiong AB(熊安斌)
Affiliation1.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
Recommended Citation
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..
Files in This Item: Download All
File Name/Size DocType Version Access License
Feasibility of EMG-B(2608KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xiong AB(熊安斌)]'s Articles
[Lin GM(林光膜)]'s Articles
[Zhao XG(赵新刚)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xiong AB(熊安斌)]'s Articles
[Lin GM(林光膜)]'s Articles
[Zhao XG(赵新刚)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiong AB(熊安斌)]'s Articles
[Lin GM(林光膜)]'s Articles
[Zhao XG(赵新刚)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Feasibility of EMG-Based ANN Controller for a Real-Time Virtual Reality Simulation.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.