Description

Abstract: The Brain-computer Interface (BCI) has become an essential communication tool,
providing a direct connection to the brain. This technology is particularly transformative for
individuals with locked-in syndrome, such as those with Amyotrophic Lateral Sclerosis (ALS). It also promises direct communication without relying on typing or voice commands. One of the most
effective BCI methods involves the use of Steady State Visual Evoked Potential (SSVEP), a specific type of brain signal. However, there is a need for new modalities to enhance performance, particularly due to its relatively slow response time compared to typical communication methods. Color and shape visual stimuli are known to yield distinguishable brain responses. Therefore, this study aimed to investigate how color and shape affect the performance of the SSVEP BCI. The research recorded Electroencephalogram (EEG) signals from eight channels as participants viewed visual stimuli displayed on a monitor. The stimuli included flashing lights with variations in frequency, color, and shape. The results showed the highest accuracy configuration of 72%, with an Information Transfer Rate (ITR) of 15.5 bits per minute. Although the findings were statistically insignificant, they suggest that color and shape may influence the performance of SSVEP BCIs.

Keywords: Brain-computer Interface, SSVEP, Electroencephalograph, Human Visual System