Deep Learning Based Emotion Recognition for Image and Video Signals: Matlab Implementation - Couverture souple

Ashraf, Arselan; Gunawan, Teddy Surya; Kartiwi, Mira

 
9786203583564: Deep Learning Based Emotion Recognition for Image and Video Signals: Matlab Implementation
Couverture souple
ISBN 10 : 6203583561 ISBN 13 : 9786203583564
Editeur : LAP LAMBERT Academic Publishing, 2021

Synopsis

Emotion recognition utilizing pictures, videos, or speech as input is considered an intriguing issue in the research field over certain years. The introduction of deep learning procedures like the Convolutional Neural Networks (CNN) has made emotion recognition achieve promising outcomes. This book is carried out to develop an image and video-based emotion recognition model using CNN for automatic feature extraction and classification with Matlab sample codes. Five emotions are considered for recognition: angry, happy, neutral, sad, and surprise, compared to previous algorithms. Different pre-processing steps have been carried over data samples, followed by the popular and efficient Viola-Jones algorithm for face detection. Evaluating results using confusion matrix, accuracy, F1-score, precision, and recall shows that video-based datasets obtained more promising results than image-based datasets.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2021
Langue
anglais
ISBN 10 
6203583561
ISBN 13 
9786203583564
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
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