脳波や瞳孔径によるマルチモーダル計測からの感情推定

抄録

Recent advancements in AI and IoT are leading to the development of smart homes, enabling the automation and remote control of household appliances. However, real-time assessment of individual user comfort remains challenging. Multimodal emotion analysis using physiological indicators like pupil diameter and heart rate is gaining attention. By combining facial expressions, heart rate variability, and skin conductance, the relationship between emotions and the autonomic nervous system can be evaluated. In this presentation, we review previous experiments on emotion classification using EEG, heart rate, and pupil diameter, and introduces our research.