Physiological signal-based emotion recognition is a growing field with various applications and significant challenges identified in current methodologies and datasets.
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.
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Lin Shu
Jinyan Xie
Mingyue Yang
Sensors
South China University of Technology
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Shu et al. (Thu,) reported a other. Physiological signal-based emotion recognition is a growing field with various applications and significant challenges identified in current methodologies and datasets.
www.synapsesocial.com/papers/698059992dac0d908d922083 — DOI: https://doi.org/10.3390/s18072074
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