Optimizing user experience in SSVEP-BCI systems

Chih Tsung Chang*, Kai Jun Pai, Chun Hui Huang, Chia Yi Chou, Kun Wei Liu, Hong Bo Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish
Title of host publicationMedical Image and Signal Analysis in Brain Research
PublisherElsevier B.V.
Pages105-121
Number of pages17
ISBN (Print)9780443238444
DOIs
Publication statusPublished - 2024 Jan

Publication series

NameProgress in Brain Research
Volume290
ISSN (Print)0079-6123
ISSN (Electronic)1875-7855

Keywords

  • Brain-computer interface
  • Critical fusion frequency
  • Fast Fourier transform
  • LED stimulator
  • Steady-state visually evoked potentials

ASJC Scopus subject areas

  • General Neuroscience

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