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Cognitive Neurodynamics

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16-07-2020 | Research Article

Brain–computer interface method based on light-flashing and motion hybrid coding

Authors: Wenqiang Yan, Guanghua Xu

Published in: Cognitive Neurodynamics | Issue 5/2020

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Abstract

The human best response frequency band for steady-state visual evoked potential stimulus is limited. This results in a reduced number of encoded targets. To circumvent this, we proposed a brain–computer interface (BCI) method based on light-flashing and motion hybrid coding. The hybrid paradigm pattern consisted of a circular light-flashing pattern and a motion pattern located in the inner ring of light-flashing pattern. The motion and light-flashing patterns had different frequencies. This study used five frequencies to encode nine targets. The motion frequency and the light-flashing frequency of the hybrid paradigm consisted of two frequencies in five frequencies. The experimental results showed that the hybrid paradigm could induce stable motion frequency, light-flashing frequency and its harmonic components. Moreover, the modulation between motion and light-flashing was weak. The average accuracy was 92.96% and the information transfer rate was 26.10 bits/min. The experimental results showed that the proposed method could be considered for practical BCI systems.

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Title: Brain–computer interface method based on light-flashing and motion hybrid coding
Authors: Wenqiang Yan
Guanghua Xu
Publication date: 16-07-2020
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 5/2020
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-020-09616-3

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