Paper Info
Title
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Reality
Abstract
Visual Brain-Computer Interfaces (BCIs) often use LCDs or LEDs to present flickering stimuli, which limits its application scenarios. Mixed reality head-mounted displays (MRHMDs) have the potential of improving the practical applications for BCIs. However, it’s unclear whether the visual stimulus color designed for traditional BCIs still works in mixed reality. Therefore, this study developed a 10-command SSVEP-BCI system in mixed reality using Hololens2, and explored the system’s performance with two stimulus colors (white and red) against four monochrome backgrounds (green, blue, white, and black). Eight subjects participated in the experiment. Cross-correlation task-related component analysis (xTRCA) was used to recognize the target command. Results showed that both stimulus and background colors affect BCI performance. Specifically, the white stimulus color significantly outperformed the red one on the blue and black backgrounds, while the red stimulus outperformed the white one on the green and white backgrounds. The color contrast ratio (CCR) between the background and stimulus colors correlated positively with SSVEP recognition accuracy. In mixed reality, SSVEP-based BCIs must optimize visual stimulus color, and the CCR is an important criterion for optimization.
Year
DOI
Venue
2023
10.1007/978-981-19-8222-4_16
Human Brain and Artificial Intelligence
Keywords
DocType
ISSN
Steady-state visual evoked potential (SSVEP), Mixed reality (MR), Color contrast ratio (CCR), Cross-correlation task-related component analysis (xTRCA)
Conference
1865-0929
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Feng He1169.45
Wu Jieyu200.34
Xiao Xiaolin300.68
Gao Runyuan400.34
Yi Weibo500.34
Chen Yuanfang600.34
Minpeng Xu72717.17
Tzyy-Ping Jung81410202.52
Dong Ming910551.47