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アイテム

  1. 研究報告
  2. ユビキタスコンピューティングシステム(UBI)
  3. 2024
  4. 2024-UBI-081

Examine Performance of SSVEP Brain Computer Interface Through Variation of Color and Shape Target

https://ipsj.ixsq.nii.ac.jp/records/232621
https://ipsj.ixsq.nii.ac.jp/records/232621
c4de5edb-84d5-4cb7-9017-0f0849facf0b
名前 / ファイル ライセンス アクション
IPSJ-UBI24081017.pdf IPSJ-UBI24081017.pdf (1.3 MB)
 2026年2月22日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥660, IPSJ:学会員:¥330, UBI:会員:¥0, DLIB:会員:¥0
Item type SIG Technical Reports(1)
公開日 2024-02-22
タイトル
タイトル Examine Performance of SSVEP Brain Computer Interface Through Variation of Color and Shape Target
タイトル
言語 en
タイトル Examine Performance of SSVEP Brain Computer Interface Through Variation of Color and Shape Target
言語
言語 eng
キーワード
主題Scheme Other
主題 Weable Tech&Biosensing
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Kobe University
著者所属
Kobe University
著者所属
Kobe University
著者所属
Kobe University
著者所属(英)
en
Kobe University
著者所属(英)
en
Kobe University
著者所属(英)
en
Kobe University
著者所属(英)
en
Kobe University
著者名 Salman, Al Maghribi Suwandi

× Salman, Al Maghribi Suwandi

Salman, Al Maghribi Suwandi

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Ayumi, Ohnishi

× Ayumi, Ohnishi

Ayumi, Ohnishi

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Tsutomu, Terada

× Tsutomu, Terada

Tsutomu, Terada

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Masahiko, Tsukamoto

× Masahiko, Tsukamoto

Masahiko, Tsukamoto

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著者名(英) Salman, Al Maghribi Suwandi

× Salman, Al Maghribi Suwandi

en Salman, Al Maghribi Suwandi

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Ayumi, Ohnishi

× Ayumi, Ohnishi

en Ayumi, Ohnishi

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Tsutomu, Terada

× Tsutomu, Terada

en Tsutomu, Terada

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Masahiko, Tsukamoto

× Masahiko, Tsukamoto

en Masahiko, Tsukamoto

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論文抄録
内容記述タイプ Other
内容記述 Brain Computer Interface (BCI) has become one of the most important communication mediums as it provides direct connection to the brain. This medium is extremely useful for disabled person with locked-in syndrome such as Amyotrophic Lateral Sclerosis (ALS). It also holds a major potential towards direct communication without the need for typing or voice command. One of the most effective BCI methods is by utilizing Steady State Visual Evoked Potential (SSVEP) where a unique condition of brain signal could be clearly recognized. However, a new modality of the method is necessary to improve the performance of the method due to its relatively slow response time to approach normal communication. This study aimed to examine how color and shape impact the performance of Brain-Computer Interface (BCI) through Steady State Visual Stimulus Evoked Potential (SSVEP). The research involved recording EEG signals as participants observed visual stimuli displayed on a monitor. The stimuli comprised flashing lights with variations in frequency, color, and shape. The color variation generally improves the SSVEP-based BCI performance with the highest accuracy of 90% and Information Transfer Rate (ITR) of 23.1 bits/minute.
論文抄録(英)
内容記述タイプ Other
内容記述 Brain Computer Interface (BCI) has become one of the most important communication mediums as it provides direct connection to the brain. This medium is extremely useful for disabled person with locked-in syndrome such as Amyotrophic Lateral Sclerosis (ALS). It also holds a major potential towards direct communication without the need for typing or voice command. One of the most effective BCI methods is by utilizing Steady State Visual Evoked Potential (SSVEP) where a unique condition of brain signal could be clearly recognized. However, a new modality of the method is necessary to improve the performance of the method due to its relatively slow response time to approach normal communication. This study aimed to examine how color and shape impact the performance of Brain-Computer Interface (BCI) through Steady State Visual Stimulus Evoked Potential (SSVEP). The research involved recording EEG signals as participants observed visual stimuli displayed on a monitor. The stimuli comprised flashing lights with variations in frequency, color, and shape. The color variation generally improves the SSVEP-based BCI performance with the highest accuracy of 90% and Information Transfer Rate (ITR) of 23.1 bits/minute.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA11838947
書誌情報 研究報告ユビキタスコンピューティングシステム(UBI)

巻 2024-UBI-81, 号 17, p. 1-7, 発行日 2024-02-22
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8698
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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