EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review

Abstract

Color vision deficiency (CVD) is one of the most common disorders related to visual impairment. Individuals with this condition are unable to differentiate between colors due to the absence or impairment of one or more color photoreceptors in their retinas. This disorder can be diagnosed through multiple approaches. This review paper provides a comprehensive summary of studies on applying Brain–Computer Interface (BCI) technology for diagnosing CVD. The main purpose of this review is to help researchers understand how BCI can be further developed and utilized for diagnosing CVD in the future.

Keywords

• brain–computer interface (BCI)
• classification
• color vision deficiency (CVD)
• EEG processing
• event-related potential (ERP)
• feature extraction