Brain-computer interface-based assessment of color vision

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.

Neuropsychological and Neurophysiological Mechanisms behind Flickering Light Stimulus Processing

“…In 2021, Norton et al [ 120 ] described BCI-based method for assessing colour vision which is independent from subject’s active participation so it could be used among people who may have difficulty responding, e.g., children or people with cognitive and motor impairments. This method uses SSVEP to the identification of metamers by two flickering light sources.…”

Intelligent Correction Method of Shooting Action Based on Computer Vision

“…The model cannot automatically reconstruct the standardization process of basketball shooting, and the correction effect of target shape is not good. Combining the above two methods, the template registration method is used for visual analysis, the step-by-step three-dimensional structure model in the process of basketball shooting is constructed, and the action orientation and amplitude are optimized by the iterative method to improve the reliability of the action [ 3 ]. The key to this method lies in the construction of basketball shooting action template shape and the selection of standardized action correction constraint rules.…”