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High-frequency SSVEP–BCI with less flickering sensation using personalization of stimulus frequency

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Abstract

The problem of brain–computer interface (BCI) using steady-state visual evoked potential (SSVEP) is a flickering sensation caused by the flashing stimuli used to induce SSVEP. To use of high-frequency flashing stimuli is one of the countermeasures of this problem. This study focused on the relationship between the magnitude of SSVEP components for each subject and proposed a high-frequency (56–70 Hz) SSVEP–BCI that uses only the frequencies at which SSVEP induction was confirmed. For comparison, the accuracy of SSVEP–BCI using learning CCA (LCCA), an extension of canonical correlation analysis (CCA), was 98.61% for the low-frequency (26–40 Hz) SSVEP–BCI for comparison, 62.78% for the high frequency (56–70 Hz) SSVEP–BCI, and 87.19% for the high frequency (56–70 Hz) SSVEP–BCI with personalized stimulus frequency. As a result of comparing with and without personalization using information transfer rate (ITR), non-personalized (normal) and personalized high-frequency SSVEP–BCI ITR were 24.25 bits/min and 29.64 bits/min.

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Data availability

The electroencephalogram data used in this paper is obligated to be stored in a storage device that is not connected to the Internet based on the research ethics review for humans at Kogakuin University, so the data is not disclosed.

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Authors and Affiliations

  1. Department of Informatics, Graduate School of Kogakuin University, Tokyo, Japan

    Sodai Kondo & Hisaya Tanaka

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  1. Sodai Kondo
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  2. Hisaya Tanaka
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Correspondence to Hisaya Tanaka.

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This work was presented in part at the joint symposium of the 28th International Symposium on Artificial Life and Robotics, the 8th International Symposium on BioComplexity, and the 6th International Symposium on Swarm Behavior and Bio-Inspired Robotics (Beppu, Oita and Online, January 25–27, 2023).

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Kondo, S., Tanaka, H. High-frequency SSVEP–BCI with less flickering sensation using personalization of stimulus frequency. Artif Life Robotics 28, 803–811 (2023). https://doi.org/10.1007/s10015-023-00893-9

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  • DOI: https://doi.org/10.1007/s10015-023-00893-9

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