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题名: A Multichannel fNIRS Based Brain Computer Interface System Using Speed and Force Imagination
作者: 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)
作者部门: 机器人学研究室
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
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
出版日期: 2011
页码: 6页
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
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8489
Appears in Collections:机器人学研究室_会议论文

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