A Multichannel fNIRS Based Brain Computer Interface System Using Speed and Force Imagination

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

	A Multichannel fNIRS Based Brain Computer Interface System Using Speed and Force Imagination
	Xu BL(徐保磊); Miao L(缪磊); Fu YF(伏云发); Pei LL(裴立力); Jiang ZH(蒋长好); Wang ZD(王志东); Li HY(李洪谊)
	2011
会议名称	2011年中国自动化大会暨钱学森诞辰一百周年及中国自动化学会五十周年会庆
会议日期	November 27-29, 2011
会议地点	北京
页码	6页
中文摘要	In this paper, we present a Brain Computer Interface (BCI) system using multichannel functional near-infrared spectroscopy (fNIRS) signal acquired when subjects execute speed and force imagination of right hand. Our goal is to classify much more movement imagination details so that a BCI system can provide more control commands, which is helpful for BCI application. Six subjects (3 male, 3 female) participate in the experiment for 3 sessions. We use Gaussian filter and wavelet-MDL to preprocess the acquired signal, and then use support vector machine (SVM) to classify task state versus rest state and speed imagination versus force imagination. Our results show that using oxyhemoglobin (HbO) data as feature can get comparable results with condition of using both HbO and hemoglobin (Hb) data as feature. Also, feature from left head provide more information than right head when subjects doing right hand movement imagination. Finally we study feature period effects on classification accuracy and find some key periods dominating the results. Our study demonstrates that an fNIRS based BCI have the potential to provide more control commands for a real application.
产权排序	1
会议主办者	中国自动化学会
会议录	2011年中国自动化大会论文集
语种	英语
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/8489]
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,Miao L,Fu YF,et al. A Multichannel fNIRS Based Brain Computer Interface System Using Speed and Force Imagination[C]. 见:2011年中国自动化大会暨钱学森诞辰一百周年及中国自动化学会五十周年会庆. 北京. November 27-29, 2011.