review Open AccessTop 1% cited

A Review of Emotion Recognition Using Physiological Signals

Sensors · 2018 · Vol. 18(7) · pp. 2074–2074

Lin Shu(South China University of Technology)Jinyan Xie(South China University of Technology)Mingyue Yang(South China University of Technology)Ziyi Li(South China University of Technology)Zhiyang Li(South China University of Technology)Dan Liao(South China University of Technology)Xiangmin Xu✉(South China University of Technology)Xinyi Yang(South China University of Technology)

View via DOI Full-text PDF

Abstract

Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security. In this paper, we present a comprehensive review on physiological signal-based emotion recognition, including emotion models, emotion elicitation methods, the published emotional physiological datasets, features, classifiers, and the whole framework for emotion recognition based on the physiological signals. A summary and comparation among the recent studies has been conducted, which reveals the current existing problems and the future work has been discussed.

Emotion and Mood Recognition EEG and Brain-Computer Interfaces ECG Monitoring and AnalysisEmotion recognitionComputer scienceSIGNAL (programming language)Speech recognitionPsychology