Physiological signal-based emotion recognition is a growing field with various applications and significant challenges identified in current methodologies and datasets.
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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.
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.
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