| Item type |
SIG Technical Reports(1) |
| 公開日 |
2024-02-22 |
| タイトル |
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タイトル |
Examine Performance of SSVEP Brain Computer Interface Through Variation of Color and Shape Target |
| タイトル |
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言語 |
en |
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タイトル |
Examine Performance of SSVEP Brain Computer Interface Through Variation of Color and Shape Target |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
Weable Tech&Biosensing |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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Kobe University |
| 著者所属 |
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Kobe University |
| 著者所属 |
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Kobe University |
| 著者所属 |
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Kobe University |
| 著者所属(英) |
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en |
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Kobe University |
| 著者所属(英) |
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en |
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Kobe University |
| 著者所属(英) |
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en |
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Kobe University |
| 著者所属(英) |
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en |
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Kobe University |
| 著者名 |
Salman, Al Maghribi Suwandi
Ayumi, Ohnishi
Tsutomu, Terada
Masahiko, Tsukamoto
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| 著者名(英) |
Salman, Al Maghribi Suwandi
Ayumi, Ohnishi
Tsutomu, Terada
Masahiko, Tsukamoto
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| 論文抄録 |
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内容記述タイプ |
Other |
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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) |
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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 |
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収録物識別子タイプ |
NCID |
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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
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8698 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-UBI24081017.pdf (1.3 MB)
