Frequency Recognition for SSVEP-BCI Using Reference Signals With Dominant Stimulus Frequency

被引：0

作者：

Islam, Md. Rabiul ^{[1
]}

Tanaka, Toshihisa ^{[1
,2
]}

Molla, Md. Khademul Islam ^{[3
]}

Akter, Most. Sheuli ^{[3
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Elect & Informat Engn, Tokyo, Japan

[2] RIKEN Brain Sci Inst, Saitama, Japan

[3] Rajshahi Univ, Dept Comp Sci & Engn, Rajshahi, Bangladesh

来源：

2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA) | 2015年

关键词：

brain computer interface; canonical correlation analysis; adaptive reference signal; spatial filtering;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Detection of frequency for steady-state visual evoked potentials (SSVEP) is addressed. We propose to use the combination of CCA and training data-based template matching between two level of data adaptive reference signals that can deal with the dominant frequency. On the basis of magnitude of stimulus frequency components, the dominant channels are selected. The recognition accuracy as well as the information transfer rate (ITR) of the proposed method are examined compared to the state-of-the-art recognition method.

引用

页码：971 / 974

页数：4

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