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

Limami, Fatiha

Softcover

ISBN 10: 6208436060 ISBN 13: 9786208436063

Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Dr. Fatiha Limami, a Ph.D. candidate at ENSIAS, Rabat, Morocco, specializing in data science, big data, and artificial intelligence. Her research interests focus on deep learning for emotion recognition, aiming to develop context-aware systems beneficial in social robotics, affective computing, and HCI applications.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 6208436060
• ISBN 13: 9786208436063
• Einband: Taschenbuch
• Anzahl der Seiten: 52
• Kontakt zum Hersteller: AV Akademikerverlag; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland