Color Optimization of Outdoor Equipment Based on Biomechanics and Cognitive Neuroscience

Long Hongyu
Hubei University of Technology, China

Abstract:

Color, as a key visual variable in the perception system of outdoor equipment, not only affects the information acquisition efficiency of users, but also directly relates to their neural activation level and behavioral stability. Aiming at the lack of physiological mechanism to support the traditional color design, and the difficulty to realize the scene adaptation and function optimization, this paper constructs a set of multi-dimensional color optimization method system based on the intersection of biomechanics and cognitive neuroscience. Firstly, we analyze the recognition characteristics and physiological response mechanism of color in dynamic motion environment from the visual perception neural pathway; secondly, we propose a color cognitive assessment model integrating EEG and fMRI data, and extract the representative neural response parameters; furthermore, we establish the mapping relationship of color design based on neural signals, and realize the optimal matching of color schemes in different environments and tasks through the multidimensional perceptual optimization algorithm. Then, we establish the mapping relationship of color design with the core of neural signals, and realize the optimal matching of color schemes in different environments and task requirements through the multidimensional perception optimization algorithm. Finally, the results of behavioral experiments and neurophysiological measurements show that the optimized color is better than the traditional design in terms of recognition efficiency, neural activation strength, motor coordination and subjective experience. The study provides a theoretical basis and technical path for the scientific configuration of the color system of high-performance outdoor equipment, which has important application value and promotion prospects.