电子科技大学学报2024，Vol.53Issue(5)：720-731,12.DOI:10.12178/1001-0548.2024176
基于多模态生理数据的情感识别综述
Emotion Recognition Based on Multimodal Physiological Data:A Survey
摘要
Abstract
Emotion recognition is an important research direction in the fields of artificial intelligence and human-computer interaction.It has significant implications for enhancing user experience and the intelligence of applications.Emotion recognition based on multimodal physiological data has become a research hotspot in recent years due to the objectivity and diversity of its data sources,which enable more accurate capture of an individual's emotional state.Firstly,the basic concepts of affective computing and emotion representation models are introduced.Secondly,emotion recognition methods based on physiological data are summarized.Then,the focus shifts to the process of emotion recognition based on multimodal physiological data,including physiological data preprocessing,traditional machine learning methods,and deep learning methods.Finally,the main challenges faced by emotion recognition based on multimodal physiological data are analyzed,and future prospects are discussed.关键词
情感识别/生理数据/深度学习/机器学习Key words
emotional recognition/physiological data/deep learning/machine learning分类
信息技术与安全科学引用本文复制引用
刘颖,袁莉,祖铄迪,范有腾,谢宁,杨阳..基于多模态生理数据的情感识别综述[J].电子科技大学学报,2024,53(5):720-731,12.基金项目
国家自然科学基金(62306067) （62306067）
