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

Fatiha Limami

ISBN 10: 6208436060 / ISBN 13: 9786208436063

Editore: LAP LAMBERT Academic Publishing, 2025

Deep Learning for Emotion Recognition: From Theory to Practice | Leveraging Contextual and Multimodal Approaches for Enhanced Understanding | Fatiha Limami | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208436063 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 133336237

Riassunto:

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.

Dati bibliografici

Titolo: Deep Learning for Emotion Recognition: From ...
Casa editrice: LAP LAMBERT Academic Publishing
Data di pubblicazione: 2025
Legatura: Taschenbuch
Condizione: Neu