Research and Analysis on the Characteristics of College Students' Emotional Face Processing Based on Computer Vision Technology

Abstract

The processing of emotional faces by individuals is an important basis for the perception and understanding of emotions. In accordance with the score of Schutte self-report Emotional Intelligence Scale (SSEIS), students in high and low emotional intelligence groups were screened out. Based on the computer vision technology, four kinds of emotional face pictures, including pleasure, anger, sadness and fear, were randomly presented with the help of the eye tracker, and four interest areas were divided into eyebrows, eyes, nose and mouth. The eye-movement indexes of subjects were recorded, and common characteristics of emotional face processing of college students and differences in gender and emotional intelligence were explored. The results showed that college students had a positive bias to emotional face processing and a certain bias to eye area; the number of fixation points in high emotional intelligence group was more and concentrated, and the processing was more rapid and efficient, while the number of fixation points in low emotional intelligence group was less and scattered, and the processing efficiency was lower; female college students were more detailed in emotional face processing.