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题名:
Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition
作者: Li ZY(李自由); 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
通讯作者: Li ZY(李自由)
会议名称: 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)
会议日期: Augest 18-20, 2016
会议地点: Macau, PEOPLES R CHINA
会议主办者: 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
会议录: IEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM)
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2016
页码: 631-634
收录类别: EI ; CPCI(ISTP)
EI收录号: 20164903084875
WOS记录号: WOS:000386653600110
产权排序: 1
ISBN号: 978-1-5090-3364-5
关键词: sEMG ; feature extraction ; dimension-reduction method ; motion recognition
摘要: Hand 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.
语种: 英语
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19411
Appears in Collections:机器人学研究室_会议论文

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作者单位: 1.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:
Li ZY,Zhao XG,Han JD,et al. Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition[C]. 2016 International Conference on Advanced Robotics and Mechatronics (ICARM). Macau, PEOPLES R CHINA. Augest 18-20, 2016.Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition.
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文件名: Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition.pdf
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