Articles liés à Deep Learning for Emotion Recognition: From Theory...

Deep Learning for Emotion Recognition: From Theory to Practice: Leveraging Contextual and Multimodal Approaches for Enhanced Understanding - Couverture souple

Limami, Fatiha

 
9786208436063: Deep Learning for Emotion Recognition: From Theory to Practice: Leveraging Contextual and Multimodal Approaches for Enhanced Understanding
Couverture souple
ISBN 10 : 6208436060 ISBN 13 : 9786208436063
Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

This book investigates developments in computer vision and artificial intelligence automated emotional perception. Specifically, we use deep learning, DCNN, and VGG19 algorithms to combine body language and contextual information, including environmental, social, and cultural factors. We optimize deep neural networks by aggregating many picture datasets, including EMOTIC (ADE20K, MSCOCO), EMODB_SMALL, and FRAMESDB, to evaluate continuous emotional dimensions and discrete emotions properly. Our results show notable progress over current methods, improving contextual emotional awareness. This work opens the path for significant applications in social robotics, affective computing, and human-machine interaction, enabling complex emotional sensing in many different real-world contexts.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2025
Langue
anglais
ISBN 10 
6208436060
ISBN 13 
9786208436063
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
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