@inbook{b9fefe6905cd43359eb9e2f455869cc8,
title = "Optimizing user experience in SSVEP-BCI systems",
abstract = "The emergence of brain-computer interface (BCI) technology provides enormous potential for human medical and daily applications. Therefore, allowing users to tolerate the visual response of SSVEP for a long time has always been an important issue in the SSVEP-BCI system. We recruited three subjects and conducted visual experiments in groups using different frequencies (17 and 25 Hz) and 60 Hz light. After recording the physiological signal, use FFT to perform a time-frequency analysis on the physiological signal to check whether there is any difference in the signal-to-noise ratio and amplitude of the 60 Hz light source compared with a single low-frequency signal source. The results show that combining a 60 Hz light source with low-frequency LEDs can reduce participants' eye discomfort while achieving effective light stimulation control. At the same time, there was no significant difference in signal-to-noise ratio and amplitude between the groups. This also means that 60 Hz can make vision more continuous and improve the subject's experience and comfort. At the same time, it does not affect the performance of the original SSVEP-induced response. This study highlights the importance of considering technical aspects and user comfort when designing SSVEP-BCI systems to increase the usability of SSVEP systems for long-term flash viewing.",
keywords = "Brain-computer interface, Critical fusion frequency, Fast Fourier transform, LED stimulator, Steady-state visually evoked potentials",
author = "Chang, {Chih Tsung} and Pai, {Kai Jun} and Huang, {Chun Hui} and Chou, {Chia Yi} and Liu, {Kun Wei} and Lin, {Hong Bo}",
note = "Publisher Copyright: {\textcopyright} 2024 Elsevier B.V.",
year = "2024",
month = jan,
doi = "10.1016/bs.pbr.2024.05.010",
language = "English",
isbn = "9780443238444",
series = "Progress in Brain Research",
publisher = "Elsevier B.V.",
pages = "105--121",
booktitle = "Medical Image and Signal Analysis in Brain Research",
address = "Netherlands",
}