Journal of Neural Engineering · 2021 · 11 citations · 26 references
MedicineNeuroscienceVision ScienceColor VisionVisual NeuroscienceVisual PerceptionColor BlindnessColor PerceptionColor Vision AssessmentColor Vision DeficiencyColor Vision ElectrophysiologyVisual Evoked PotentialsBrain-computer Interface ClassificationColor Vision DiagnosisColor Vision ImpairmentEvoked Potential InterpretationVisual Evoked Potential Analysis
Abstract Objective. Present methods for assessing color vision require the person’s active participation. Here we describe a brain-computer interface-based method for assessing color vision that does not require the person’s participation. Approach. This method uses steady-state visual evoked potentials to identify metamers—two light sources that have different spectral distributions but appear to the person to be the same color. Main results. We demonstrate that: minimization of the visual evoked potential elicited by two flickering light sources identifies the metamer; this approach can distinguish people with color-vision deficits from those with normal color vision; and this metamer-identification process can be automated. Significance. This new method has numerous potential clinical, scientific, and industrial applications.
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