Deep Learning-Based Multimodal Emotion Recognition Using Facial Expressions and Physiological Signals with Dynamic Fusion for Real-Time Human–Computer Interaction

Shinde Akshata G; Shinde S.G

doi:10.59256/ijrtmr.20260604023

Original Article

Deep Learning-Based Multimodal Emotion Recognition Using Facial Expressions and Physiological Signals with Dynamic Fusion for Real-Time Human–Computer Interaction

Paper ID 415
Volume 6, Issue 4
Pages 198-207
Published Online: July-August 2026

Open Access Peer Reviewed Crossref DOI

Authors

Shinde Akshata G¹
Shinde S.G²

¹ PG Scholar, TPCT’s College of Engineering, Dharashiv, Maharashtra, India. ² Associate Professor, TPCT’s College of Engineering, Dharashiv, Maharashtra, India.

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Article Information

DOI: https://www.doi.org/10.59256/ijrtmr.20260604023
Published In: Volume 6, Issue 4 (2026)
Published Online: July-August 2026
Pages: 198-207
Article Type: Original Article
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Citations

Shinde Akshata G, Shinde S.G,“ Deep Learning-Based Multimodal Emotion Recognition Using Facial Expressions and Physiological Signals with Dynamic Fusion for Real-Time Human–Computer Interaction”, International Journal of Recent Trends in Multidisciplinary Research, July-August 2026, Vol 6(04), 198-207.

Deep Learning-Based Multimodal Emotion Recognition Using Facial Expressions and Physiological Signals with Dynamic Fusion for Real-Time Human–Computer Interaction

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