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Computer Vision. Recognition of Learners' Cognitive statesin E-learning
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Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Karu Prasada Rao,M V P Chandra Sekhara Rao and Vinod Babu Polinati
ISBN: 9786204732275
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 108
Издательство: LAP LAMBERT Academic Publishing
Цена: 35077 тг
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Аннотация: 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.
Ключевые слова: facial expressions, emotion recognition, e-learning, Deep Learning, Computer Vision
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