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- Lin Shu
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Jinyan Xie
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Mingyue Yang
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Ziyi Li
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Zhenqi Li
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Dan Liao
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Xiangmin Xu
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
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- Xinyi Yang
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
説明
<jats:p>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.</jats:p>
収録刊行物
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- Sensors
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Sensors 18 (7), 2074-, 2018-06-28
MDPI AG