Placeholder text

Go to cart

Deep Learning for Emotion Recognition: From Theory to Practice

By Fatiha Limami

Product Image: Deep Learning for Emotion Recognition: From Theory to Practice

Deep Learning for Emotion Recognition: From Theory to Practice

By Fatiha Limami

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
52
Release Date:
2025-04-03
Publication Date:
2025-04-03
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208436060
ISBN13:
9786208436063
GPSR Manufacturer Reference:
[email protected]
Weight:
96 g
Height:
150 cm
Width:
220 cm
Thickness:
4 cm
Buy on Amazon
Currently sold out