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Noncontact brain-computer interface based on steady-state pupil light reflex using independent bilateral eyes stimulation

https://repository.lib.tottori-u.ac.jp/records/7050
https://repository.lib.tottori-u.ac.jp/records/7050
c0748dc5-a726-4fbf-ad49-fb63e0474a12
名前 / ファイル ライセンス アクション
2021ieeesmc_3386.pdf 2021ieeesmc_3386.pdf (685.3 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2022-08-18
タイトル
タイトル Noncontact brain-computer interface based on steady-state pupil light reflex using independent bilateral eyes stimulation
言語 en
言語
言語 eng
資源タイプ
資源タイプ conference paper
著者 中谷, 真太朗

× 中谷, 真太朗

WEKO 4843
e-Rad 10781700
研究者総覧鳥取大学 100001650

中谷, 真太朗

ja-Kana ナカタニ, シンタロウ

en Nakatani, Shintaro

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Sato, Ariki

× Sato, Ariki

WEKO 26142

en Sato, Ariki

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著者所属(英)
言語 en
値 Graduate School of Sustainability, Tottori University
著者所属(英)
言語 en
値 Graduate School of Sustainability, Tottori University
抄録
内容記述タイプ Other
内容記述 Steady-state visual evoked potential (SSVEP), which uses blinking light stimulation to estimate the attending target, has been known as a communication technique with severe motor disabilities such as ALS and Locked-in-syndrome. Recently, it was reported that pupil diameter vibration based on pupillary light reflex has been observed in the attending target with a constant blinking frequency. This fact suggests the possibility of a noncontact BCI using pupillometers as alternatives to contacting scalp electrodes. In this study, we show an increment in the number of communication channels by stimulating both eyes alone or in combination with different frequencies. The number of selective targets becomes twice the number of frequencies using this method. Experiments are conducted by recruiting three healthy participants. We prepare six target patterns comprising three frequencies and detect the target using a coefficient of correlation of power spectrum between the pupil diameter and stimulus signal. Consequently, the average classification accuracy of the three participants of approximately 83.4% is achieved. The findings of this study demonstrate the feasibility of noncontact BCI systems.
書誌情報 2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
en : 2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)

p. 3386-3390, 発行日 2021
出版者
出版者 IEEE
ISSN
収録物識別子タイプ ISSN
収録物識別子 1062922X
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 10.1109/smc52423.2021.9658602
権利
権利情報 (C) 2021 IEEE
情報源
関連名称 Sato Ariki, Nakatani Shintaro. Noncontact brain-computer interface based on steady-state pupil light reflex using independent bilateral eyes stimulation. 2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 2021. 3386-3390. doi:10.11
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出版タイプ AM
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