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

Limami, Fatiha

ISBN 10: 6208436060 / ISBN 13: 9786208436063

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Seller Inventory # I-9786208436063

Bibliographic Details

• Title: Deep Learning for Emotion Recognition: From Theory to Practice: Leveraging Contextual and Multimodal Approaches for Enhanced Understanding
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208436060
• ISBN 13: 9786208436063
• Binding: Soft cover
• Condition: New

About this title

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.