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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
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: CPCI(ISTP)
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
产权排序: 1
WOS记录号: WOS:000386653600110
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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Recommended Citation:
Li ZY,Zhao XG,Han JD,et al. Comparisons on different sEMG-features with Dimension-reduction methods in Hand Motion Recognition[C]. 见:2016 International Conference on Advanced Robotics and Mechatronics (ICARM). Macau, PEOPLES R CHINA. Augest 18-20, 2016.
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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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