Multimodal spatio-temporal framework for real-world affect recognition

Multimodal spatio-temporal framework for real-world affect recognition

Deep learning models show great potential in applications involving video-based affect recognition, including human-computer interaction, robotic interfaces, stress and depression assessment, and Alzheimer's disease detection. The low complex Multimodal Diverse Spatio-Temporal Network (MDSTN) h...

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Bibliographic Details
Main Authors: Karishma Raut, Sujata Kulkarni, Ashwini Sawant
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:International Journal of Intelligent Networks
Subjects:
Data augmentation
Multimodal
Spatio-temporal features
CNN
Fusion
Online Access:http://www.sciencedirect.com/science/article/pii/S2666603024000332
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