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Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition
Li ZY(李自由); Zhao XG(赵新刚); Han JD(韩建达); Liu GJ(刘光军)
Department机器人学研究室
Conference Name2016 International Conference on Advanced Robotics and Mechatronics (ICARM)
Conference DateAugest 18-20, 2016
Conference PlaceMacau, PEOPLES R CHINA
Author of SourceS China Univ Technol, Univ Macau, EEE Syst Man & Cybernet Soc, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intelligence, IEEE SMCA Tech Comm Computat Psychophysiol, IEEE SMCA Tech Comm Bio Mechatron & Bio Robot Syst, IFAC Tech Comm Econ Business & Financial Syst
Source PublicationIEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM)
PublisherIEEE
Publication PlaceNEW YORK
2016
Pages631-634
Indexed ByEI ; CPCI(ISTP)
EI Accession number20164903084875
WOS IDWOS:000386653600110
Contribution Rank1
ISBN978-1-5090-3364-5
KeywordSemg Feature Extraction Dimension-reduction Method Motion Recognition
AbstractHand motion recognition based on surface electromyography (sEMG) has drawn much attention over last decades. Generally, sEMG can be non-invasively measured on the skin, and then different stable features directly relating to hand motion are extracted from the preprocessed sEMG. In order to improve computational efficiency, some dimension-reduction methods, such as PCA, LDA, are always employed to reduce the high-dimensional sEMG-features into a proper low-dimensional space. Afterwards, hand motions can be classified by a trained classification model. The proper sEMG-features and dimension-reduced data are keys for accurately identifying hand motions. This paper provides performance comparisons on different features combining with different dimension-reduction methods.
Language英语
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19411
Collection机器人学研究室
Corresponding AuthorLi ZY(李自由)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
3.Department of Aerospace Engineering, Ryerson University, Toronto, Canada
Recommended Citation
GB/T 7714
Li ZY,Zhao XG,Han JD,et al. Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition[C]//S China Univ Technol, Univ Macau, EEE Syst Man & Cybernet Soc, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intelligence, IEEE SMCA Tech Comm Computat Psychophysiol, IEEE SMCA Tech Comm Bio Mechatron & Bio Robot Syst, IFAC Tech Comm Econ Business & Financial Syst. NEW YORK:IEEE,2016:631-634.
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