Presentation 2012-03-01
Optimal Sensor Selection for Single-trial P300 Speller
Keisuke TAWADA, Yasue MITSUKURA, Nozomu HAMADA,
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Abstract(in English) Brain-computer interface (BCI) is a device that uses brain signals to control. By using BCI, people with motor disorder like amyotrophic lateral sclerosis (ALS) or spinal injury can control external devices or communicate with people around them. Single-trial BCI is needed to realize fast communication by BCI-based speller, which types words into the computer by brain signals. However, the accuracy of single-trial P300 speller is not adequate. In this study, we use backward elimination method for sensor selection (for reducing the unnecessary electrodes). The contribution of this paper is to obtain the important electrode points for achievement of the single-trial BCI. This proposed method indicates the higher recognition accuracy than the conventional method.
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Keyword(in English) Brain-computer Interface / P300 / Amyotrophic Lateral Sclerosis / Independent Component Analysis
Paper # SIS2011-57
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Conference Date 2012/2/23(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimal Sensor Selection for Single-trial P300 Speller
Sub Title (in English)
Keyword(1) Brain-computer Interface
Keyword(2) P300
Keyword(3) Amyotrophic Lateral Sclerosis
Keyword(4) Independent Component Analysis
1st Author's Name Keisuke TAWADA
1st Author's Affiliation Keio University()
2nd Author's Name Yasue MITSUKURA
2nd Author's Affiliation Keio University
3rd Author's Name Nozomu HAMADA
3rd Author's Affiliation Keio University
Date 2012-03-01
Paper # SIS2011-57
Volume (vol) vol.111
Number (no) 457
Page pp.pp.-
#Pages 4
Date of Issue