A Review of Emotion Recognition Using Physiological Signals

By Lin Shu, Jinyan Xie, Mingyue Yang, Ziyi Li, Zhenqi Li, Dan Liao, Xiangmin Xu, Xinyi Yang. Italian National Conference on Sensors, 2018

813 citations recorded by the source corpus.

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.

Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/acc55d8e5fb9c4d1fce6a12101fbd68add372a55

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In Experimental and Cognitive Psychology

1. Victoria Blanes-Vidal
2. Esmaeil S. Nadimi
3. U. Rajendra Acharya
4. Smith K. Khare

Citations in the corpus

• Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations (2023, background): “Physical signals for emotion recognition include facial expressions, speech, text, gestures, and body postures [22].”