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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/7050c0748dc5-a726-4fbf-ad49-fb63e0474a12
名前 / ファイル | ライセンス | アクション |
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2021ieeesmc_3386.pdf (685.3 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||||||||
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公開日 | 2022-08-18 | |||||||||||
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タイトル | Noncontact brain-computer interface based on steady-state pupil light reflex using independent bilateral eyes stimulation | |||||||||||
言語 | en | |||||||||||
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言語 | eng | |||||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
資源タイプ | conference paper | |||||||||||
著者 |
中谷, 真太朗
× 中谷, 真太朗
WEKO
4843
× 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 | |||||||||||
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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 |
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出版者 | IEEE | |||||||||||
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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 | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |