Computer Vision: Recognition of Learners' Cognitive statesin E-learning - Brossura

Rao, Karu Prasada; Rao, M V P Chandra Sekhara; Polinati, Vinod Babu

Brossura

ISBN 10: 6204732277 ISBN 13: 9786204732275

Casa editrice: LAP LAMBERT Academic Publishing, 2021

Riassunto

The majority of studies developed to recognize human emotions are limited to a single modality, namely, facial expressions or speech. This book introduced a multimodal approach to improve the accuracy of the emotion recognition by combining audio and visual data. Furthermore, a CNN model has been proposed to automatically extract facial features that uniquely differentiate facial expressions, and this method has been applied to recognize the cognitive states of learners in E-learning environments, and the learners' facial expressions are mapped to cognitive states such as boredom, confusion, engagement, and frustration. The objectives are as follows: - Multimodal feature extraction and fusion from face image and speech: Geometric-based, SURF features from face image are considered, as are spectral and prosodic features from speech.- To combine the scores obtained from individual models, the proposed linear weighted fusion approach was used.- To recognize learners' cognitive states in e-learning environments, a Hybrid CNN model has been proposed.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 6204732277
• ISBN 13: 9786204732275
• Rilegatura: Copertina flessibile
• Numero di pagine: 108
• Contatto del produttore: non disponibile
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