Paper
13 July 2024 Design comparison of colored stimuli for dynamic visual acuity assessment
Zejin Li, Gunghua Xu, Chenghang Du, Hui Li, Wenqiang Yan
Author Affiliations +
Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132081B (2024) https://doi.org/10.1117/12.3036858
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China
Abstract
Dynamic Visual Acuity (DVA) is a component of visual function that pertains to the ability to track moving targets. Traditional DVA assessments, which utilize moving dots or letters as stimuli, are subjective in nature. However, with advancements in brain-computer interface techniques, the steady-state visual evoked potential (SSVEP) has been employed for objective visual acuity assessment. This has prompted researchers to explore the use of moving stimuli paradigms in DVA evaluation. While previous studies have investigated factors such as moving speed and direction, stimuli pattern, and starting phase, they have not provided specific stimulus design suggestions for DVA assessment purposes. In this study, we approached the issue from a color and frequency perspective and designed stimuli that flicker at selected frequencies—7.5Hz, 9Hz, 11Hz, and 13Hz—while also moving at five different speeds: 4 deg/s, 8deg/s 12deg/s ,20deg/s ,and30deg/s . A total of forty stimuli were created by combining different colors,speeds,and frequencies,and each subject underwent five runs with these stimuli.Ten subjects participated in this trial. Furthermore,Cannonical correlation analysis(CCA)and signal-to-noise ratio(SNR)were used to evaluate EEG performance when presented with black-white and red-green stimuli under identical movement speeds and flashing frequencies.The results revealed that black-white at 11Hz was found to be the most effective combination of color and frequency regardless of speed; whereas red-green was more effective under a frequency of7.5 Hz.One interesting finding was that CCA identified peak frequency shifts from the target while the stimulus was in motion.The likelihood of frequency shift increased as stimulus speed increased.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zejin Li, Gunghua Xu, Chenghang Du, Hui Li, and Wenqiang Yan "Design comparison of colored stimuli for dynamic visual acuity assessment", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132081B (13 July 2024); https://doi.org/10.1117/12.3036858
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KEYWORDS
Visualization

Signal to noise ratio

Design

Electroencephalography

Target recognition

Brain-machine interfaces

Color

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