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Deep Learning for Emotion Recognition: From Theory to Practice

Deep Learning for Emotion Recognition: From Theory to Practice

Paperback

General Computers

ISBN10: 6208436060
ISBN13: 9786208436063
Publisher: LAP Lambert Academic Publishing
Published: Apr 3 2025
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: English
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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General Computers