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.
Supported by Faculty Development Competitive Research Grant Program (No. 080420FD1909) at Nazarbayev University.
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Serkali, N., Shomanov, A., Kudaibergenova, M., Lee, MH. (2021). BCI Speller on Smartphone Device with Diminutive-Sized Visual Stimuli. In: Mantoro, T., Lee, M., Ayu, M.A., Wong, K.W., Hidayanto, A.N. (eds) Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science, vol 1517. Springer, Cham. https://doi.org/10.1007/978-3-030-92310-5_17
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