An incremental EMG classification model to detect and recognize randomly-occurred outlier motion

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	An incremental EMG classification model to detect and recognize randomly-occurred outlier motion
	Li ZY(李自由)1,2 ; Ding QC(丁其川)1 ; Zhao XG(赵新刚)1 ; Han JD(韩建达)1
	2017
会议日期	December 5-8, 2017
会议地点	Macau, China
关键词	—surface Electromyography (sEMG) incremental classifier online update motion recognition
页码	1050-1055
英文摘要	Traditional EMG-motion recognition methods are only able to recognize target motions that presented in the training phase, but cannot detect randomly-occurred outlier motions that did not present before. Here, a hybrid classifier that combines one-class SVMs and a multi-class LDA was proposed to perform recognition on target classes and rejection on outlier classes. The classification ability of the hybrid classifier can incrementally grow via online learning the data of outlier classes. Extensive experiments on EMG-based hand-motion recognition were conducted to verify the performance of the incremental hybrid classifier (IHC). The mean recognition accuracy on target classes of IHC is 92%, which is 23% higher than that of the normal MLP. Moreover, IHC has the ability to detect outlier patterns that MLP would misclassify to target classes.
源文献作者	Beijing Institute of Technology ; City University of Hong Kong ; IEEE Robotics and Automation Society ; Shenzhen Academy of Robotics ; University of Hong Kong ; University of Macau
产权排序	1
会议录	Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-5386-3741-8
内容类型	会议论文
源URL	[http://119.78.100.139/handle/173321/22129]
专题	沈阳自动化研究所_机器人学研究室
通讯作者	Ding QC(丁其川)
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, Beijing 100049, China
推荐引用方式 GB/T 7714	Li ZY,Ding QC,Zhao XG,et al. An incremental EMG classification model to detect and recognize randomly-occurred outlier motion[C]. 见:. Macau, China. December 5-8, 2017.