Identification of motor imagery parameters from EEG using SVM

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

	Identification of motor imagery parameters from EEG using SVM
	Xu BL(徐保磊); Fu YF(伏云发); Shi G(石刚); Wang ZD(王志东); Li HY(李洪谊)
	2013
会议名称	International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
会议日期	August 27-28, 2013
会议地点	Hongkong
页码	319–322
通讯作者	徐保磊
中文摘要	Brain Computer Interface (BCI) is a technology to control devices such as prosthetics, cars, robots and other control related applications using brain signal directly. Currently, EEG-based BCIs are mostly based on classification between different limb effectors, and only few commands can be generated directly. To increase the command number and control efficiency, both clench force parameters and clench speed parameters has been studied independently. In this paper, we try to decode speed and force hand movement imagination at the same time. Alpha band power of EEG signal is extracted as feature and then classified by Support Vector Machine (SVM). The primary result shows that speed and force motor imagery of the same hand is distinguishable, which may increase direct BCI control commands in the future.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Proceedings of the International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
会议录出版者	CRC Press
会议录出版地	Boca Raton, FL
语种	英语
ISBN号	978-1-138-00079-7
WOS记录号	WOS:000340611200073
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/13917]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Xu BL,Fu YF,Shi G,et al. Identification of motor imagery parameters from EEG using SVM[C]. 见:International Conference on Information Technology and Computer Application Engineering (ITCAE 2013). Hongkong. August 27-28, 2013.