BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli

Nuray Serkali; Adai Shomanov; Madina Kudaibergenova; Min Ho Lee

doi:10.1007/978-3-030-92310-5_17

BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli

Nuray Serkali
, Adai Shomanov
, Madina Kudaibergenova
, Min Ho Lee

Nazarbayev University

Nazarbayev University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In real-world BCI applications, small-sized and low-impact stimuli are more appropriate for smart devices. However, diminishing the stimuli intensity leads to a reduction of P300 amplitude, causing lower system performance. The purpose of this study is to propose a state-of-the-art BCI speller where diminutive (less than 1 mm) visual stimuli were implemented in a smartphone interface. To boost the task-relevant brain components, participants performed a certain mental task according to the given cue signs. Additionally, we applied a data-driven optimization approach to represent the user-specific spatial-temporal features. The results showed 96.8% of spelling accuracy with a maximum ITR of 31.6 [bits/min], which is comparable or even superior to conventional speller systems. Our study demonstrated the feasibility to create more reliable and practical BCI spelling systems in the future.

Original language	English
Title of host publication	Neural Information Processing - 28th International Conference, ICONIP 2021, Proceedings
Editors	Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	144-151
Number of pages	8
ISBN (Print)	9783030923099
DOIs	https://doi.org/10.1007/978-3-030-92310-5_17
Publication status	Published - 2021
Event	28th International Conference on Neural Information Processing, ICONIP 2021 - Virtual, Online Duration: Dec 8 2021 → Dec 12 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1517 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	28th International Conference on Neural Information Processing, ICONIP 2021
City	Virtual, Online
Period	12/8/21 → 12/12/21

Funding

Supported by Faculty Development Competitive Research Grant Program (No. 080420FD1909) at Nazarbayev University.

Keywords

BCI speller
Event related potential (ERP)
Late positive potential (LPP)
Mental task
Sound imagery

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-030-92310-5_17

Cite this

Serkali, N., Shomanov, A., Kudaibergenova, M., & Lee, M. H. (2021). BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli. In T. Mantoro, M. Lee, M. A. Ayu, K. W. Wong, & A. N. Hidayanto (Eds.), Neural Information Processing - 28th International Conference, ICONIP 2021, Proceedings (pp. 144-151). (Communications in Computer and Information Science; Vol. 1517 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-92310-5_17

BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli. / Serkali, Nuray; Shomanov, Adai; Kudaibergenova, Madina et al.
Neural Information Processing - 28th International Conference, ICONIP 2021, Proceedings. ed. / Teddy Mantoro; Minho Lee; Media Anugerah Ayu; Kok Wai Wong; Achmad Nizar Hidayanto. Springer Science and Business Media Deutschland GmbH, 2021. p. 144-151 (Communications in Computer and Information Science; Vol. 1517 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Serkali, N, Shomanov, A, Kudaibergenova, M & Lee, MH 2021, BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli. in T Mantoro, M Lee, MA Ayu, KW Wong & AN Hidayanto (eds), Neural Information Processing - 28th International Conference, ICONIP 2021, Proceedings. Communications in Computer and Information Science, vol. 1517 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 144-151, 28th International Conference on Neural Information Processing, ICONIP 2021, Virtual, Online, 12/8/21. https://doi.org/10.1007/978-3-030-92310-5_17

Serkali N, Shomanov A, Kudaibergenova M, Lee MH. BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli. In Mantoro T, Lee M, Ayu MA, Wong KW, Hidayanto AN, editors, Neural Information Processing - 28th International Conference, ICONIP 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 144-151. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-92310-5_17

Serkali, Nuray ; Shomanov, Adai ; Kudaibergenova, Madina et al. / BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli. Neural Information Processing - 28th International Conference, ICONIP 2021, Proceedings. editor / Teddy Mantoro ; Minho Lee ; Media Anugerah Ayu ; Kok Wai Wong ; Achmad Nizar Hidayanto. Springer Science and Business Media Deutschland GmbH, 2021. pp. 144-151 (Communications in Computer and Information Science).

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abstract = "In real-world BCI applications, small-sized and low-impact stimuli are more appropriate for smart devices. However, diminishing the stimuli intensity leads to a reduction of P300 amplitude, causing lower system performance. The purpose of this study is to propose a state-of-the-art BCI speller where diminutive (less than 1 mm) visual stimuli were implemented in a smartphone interface. To boost the task-relevant brain components, participants performed a certain mental task according to the given cue signs. Additionally, we applied a data-driven optimization approach to represent the user-specific spatial-temporal features. The results showed 96.8\% of spelling accuracy with a maximum ITR of 31.6 [bits/min], which is comparable or even superior to conventional speller systems. Our study demonstrated the feasibility to create more reliable and practical BCI spelling systems in the future.",

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author = "Nuray Serkali and Adai Shomanov and Madina Kudaibergenova and Lee, \{Min Ho\}",

note = "Funding Information: Supported by Faculty Development Competitive Research Grant Program (No. 080420FD1909) at Nazarbayev University. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 28th International Conference on Neural Information Processing, ICONIP 2021 ; Conference date: 08-12-2021 Through 12-12-2021",

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AU - Kudaibergenova, Madina

AU - Lee, Min Ho

PY - 2021

Y1 - 2021

N2 - In real-world BCI applications, small-sized and low-impact stimuli are more appropriate for smart devices. However, diminishing the stimuli intensity leads to a reduction of P300 amplitude, causing lower system performance. The purpose of this study is to propose a state-of-the-art BCI speller where diminutive (less than 1 mm) visual stimuli were implemented in a smartphone interface. To boost the task-relevant brain components, participants performed a certain mental task according to the given cue signs. Additionally, we applied a data-driven optimization approach to represent the user-specific spatial-temporal features. The results showed 96.8% of spelling accuracy with a maximum ITR of 31.6 [bits/min], which is comparable or even superior to conventional speller systems. Our study demonstrated the feasibility to create more reliable and practical BCI spelling systems in the future.

AB - In real-world BCI applications, small-sized and low-impact stimuli are more appropriate for smart devices. However, diminishing the stimuli intensity leads to a reduction of P300 amplitude, causing lower system performance. The purpose of this study is to propose a state-of-the-art BCI speller where diminutive (less than 1 mm) visual stimuli were implemented in a smartphone interface. To boost the task-relevant brain components, participants performed a certain mental task according to the given cue signs. Additionally, we applied a data-driven optimization approach to represent the user-specific spatial-temporal features. The results showed 96.8% of spelling accuracy with a maximum ITR of 31.6 [bits/min], which is comparable or even superior to conventional speller systems. Our study demonstrated the feasibility to create more reliable and practical BCI spelling systems in the future.

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KW - Late positive potential (LPP)

KW - Mental task

KW - Sound imagery

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BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli

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Keywords

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