title: [Research progress on emotion recognition based on physiological signals].
abstract: Emotion recognition will be prosperious in multifarious applications, like distance education, healthcare, and human-computer interactions, etc. Emotions can be recognized from the behavior signals such as speech, facial expressions, gestures or the physiological signals such as electroencephalogram and electrocardiogram. Contrast to other methods, the physiological signals based emotion recognition can achieve more objective and effective results because it is almost impossible to be disguised. This paper introduces recent advancements in emotion research using physiological signals, specified to its emotion model, elicitation stimuli, feature extraction and classification methods. Finally the paper also discusses some research challenges and future developments.
authors.forename: Di
authors.initials: D
authors.lastname: Zhang
authors.forename: Baikun
authors.initials: B
authors.lastname: Wan
authors.forename: Dong
authors.initials: D
authors.lastname: Ming
mesh_terms: D004562:Electrocardiography; D004569:Electroencephalography; D004644:Emotions / Q000502:physiology*; D005149:Facial Expression; D005868:Gestures; D006801:Humans; D008962:Models, Theoretical