Model and Simulation of Camouflage Evaluation Indicators for Computer Information Technology based on Eye Tracking Mechanism

Abstract

The rapid development of data mining algorithms provides a foundation for the construction and simulation of eye tracking evaluation models. Mature eye tracking devices have been applied in various fields such as medical, commercial, aerospace, and military, and eye tracking data is also considered an important indicator of human subjective perception. The effectiveness evaluation of target camouflage directly affects the battlefield survival capability. The eye tracking mechanism can capture human eye movements and reflect an individual's attention allocation towards the target. Analyzed the detection probability model in the evaluation of camouflage effects, and established a relationship between the two based on the analysis of eye tracking data. This article uses data mining algorithms to extract the relationship model between relevant parameters, and combines the subjective detection probability model with objective eye movement data to find the relevant relationship, construct relevant mathematical models, analyze the error between reality and prediction, and provide theoretical guidance for practical applications.