Investigation of Visual Stimulus Signals Using Hue Change for SSVEP
1
Division of Informatics, Tokyo City University, 1-28-1 Tamazutsumi, Setagaya-ku, Tokyo 158-8557, Japan
2
Department of Computer Science, Tokyo City University, 1-28-1 Tamazutsumi, Setagaya-ku, Tokyo 158-8557, Japan
3
Department of Medical Engineering, Tokyo City University, 1-28-1 Tamazutsumi, Setagaya-ku, Tokyo 158-8557, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Mufti Mahmud
Appl. Sci. 2021, 11(3), 1045; https://0-doi-org.brum.beds.ac.uk/10.3390/app11031045
Received: 23 November 2020 / Revised: 17 January 2021 / Accepted: 20 January 2021 / Published: 25 January 2021
(This article belongs to the Special Issue Recent Trends, Applications, and Challenges of Brain–Machine Interfaces)
This study focuses on the problem of eye irritation when measuring steady-state visual evoked potentials (SSVEPs) using a brain–computer interface and aims to clarify experimentally visual stimulus signals that do not cause discomfort to users. To this end, a method is proposed that introduces a flash stimulus in which the color is changed by changing its hue. This reduces the change in brightness while providing a color change, thereby facilitating visual stimulation with less discomfort. In experiments conducted, flash stimuli of the primary colors red, green, and blue and colors with different hues of 5–45° from these primary colors were generated to investigate the algorithm accuracy of SSVEP and discomfort. Subjective questionnaire and CFF values, which are ophthalmic parameters, were obtained for the subjects and compared to the discrimination rate. As a result of the comparison, it was confirmed that the fatigue level of the visual stimulus generated by the proposed hue change was lower than that of the conventional black-and-white stimulus. It was also confirmed that the combination of the hue difference and frequency could obtain the same discrimination rate as the conventional method.
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Keywords:
brain–computer interface; electroencephalogram; analogous colors; steady-state visual evoked potential; canonical correlation analysis
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MDPI and ACS Style
Sato, Y.; Kitamura, Y.; Hirata, T.; Bao, Y. Investigation of Visual Stimulus Signals Using Hue Change for SSVEP. Appl. Sci. 2021, 11, 1045. https://0-doi-org.brum.beds.ac.uk/10.3390/app11031045
AMA Style
Sato Y, Kitamura Y, Hirata T, Bao Y. Investigation of Visual Stimulus Signals Using Hue Change for SSVEP. Applied Sciences. 2021; 11(3):1045. https://0-doi-org.brum.beds.ac.uk/10.3390/app11031045
Chicago/Turabian StyleSato, Yoshihiro; Kitamura, Yuichiro; Hirata, Takamichi; Bao, Yue. 2021. "Investigation of Visual Stimulus Signals Using Hue Change for SSVEP" Appl. Sci. 11, no. 3: 1045. https://0-doi-org.brum.beds.ac.uk/10.3390/app11031045
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