眼动追踪情绪识别研究综述OA

Enhancing the efficiency of user emotion detection is a key task in affective engineering,aiming to achieve pre-cise emotional perception and understanding,and to promote more empathetic human computer interactions.The applica-tion of eye-tracking technology in emotion detection remains an emerging research direction.This paper reviews the research progress in this field,with a particular focus on the physiological mechanisms and core extraction methods of eye-movement features,emphasizing key indicators such as pupil dynamic responses and gaze patterns.On this basis,it systematically outlines the technical framework of eye-movement-based emotion recognition,including unimodal recogni-tion methods as well as multimodal fusion strategies that integrate eye-tracking data with electroencephalography(EEG),photoplethysmography(PPG),and audiovisual features.Furthermore,it summarizes existing studies and introduces com-monly used public datasets in this domain.Finally,the paper discusses the challenges and future prospects of research in this area.