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Conference Paper
Emotion Recognition using Physiological Signals based on Personality Types
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- Authors
- Seungyoon Nam, Chanki Park, John Lorenzo Bautista, Seoha Jeong, Hyunsoon Shin
- Issue Date
- 2023-12
- Citation
- International Conference on Data Science and Engineering in Healthcare, Medicine & Biology 2023, pp.1-2
- Language
- English
- Type
- Conference Paper
- Abstract
- Facial expressions, speech, and physiological signals are primarily used for human emotion recognition. Physiological signals are controlled by the autonomic nervous system. These physiological signals can vary individually in response to the same physical stimuli which results to lower accuracy in recognizing emotions when compared with other modalities. In this paper, emotion recognition accuracy is enhanced by considering personality traits. To achieve this, a new dataset is collected which includes physiological signals mapped with different personality types used to train an emotion recognition system. The accuracy of emotion recognition was compared based on personality types indicating judgment functions.
- KSP Keywords
- Autonomic nervous system(ANS), Human emotion recognition, Personality Types, Physical stimuli, Physiological signals, Recognition Accuracy, emotion recognition system(ERS), facial expression, personality traits