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.

Details

Title
A Review of Emotion Recognition Using Physiological Signals
Author
Lin, Shu; Xie, Jinyan; Yang, Mingyue; Li, Ziyi; Li, Zhenqi; Liao, Dan; Xu, Xiangmin; Yang, Xinyi
First page
2074
Publication year
2018
Publication date
2018
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2108749416
Copyright
© 2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.