Enhancing emotion recognition using multimodal fusion of physiological, environmental, personal data

• Published in: Expert systems with applications Vol. 249; p. 123723
• Main Authors: Kim, Hakpyeong, Hong, Taehoon
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2024
• Subjects: Affective computing; Emotion recognition; Human-computer interaction; Multimodal fusion; Swin transformer; Emotion recognition; Affective computing; Swin transformer; Human-computer interaction; Multimodal fusion

Human emotion recognition, crucial for interpersonal relations and human-building interaction, identifies emotions from various behavioral signals to improve user interactions. To enhance the performance of emotion recognition, this study proposed a novel model that fuses physiological, environmenta...