Abstract
Due to the low training time and high time resolution, steady state visual evoked potential (SSVEP)-based brain computer interfaces (BCIs) have been largely studied in recent years. The stimulus properties such as frequency, color and shape can greatly affect the performance, comfort and safety of the brain computer interfaces. Despite this fact, stimulation properties have received fairly little attention. This study aims to investigate the influence of stimulus color on SSVEPs. We tested 10 colors and did evaluation by using three different methods: the power amplitude, multivariate synchronization index, and canonical correlation analysis. The results showed that violet color had the least influence to SSVEPs while red color tended to have stronger impact.
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Chu, L., Fernández-Vargas, J., Kita, K., Yu, W. (2017). Influence of Stimulus Color on Steady State Visual Evoked Potentials. In: Chen, W., Hosoda, K., Menegatti, E., Shimizu, M., Wang, H. (eds) Intelligent Autonomous Systems 14. IAS 2016. Advances in Intelligent Systems and Computing, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-48036-7_36
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DOI: https://doi.org/10.1007/978-3-319-48036-7_36
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