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

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

 
9786204732275: Computer Vision: Recognition of Learners' Cognitive statesin E-learning

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. Karu Prasada Rao, Mr. Vinod Babu Polinati Working as Assistant Professor, GIT, GITAM (Deemed to be University), Visakhapatnam.  Dr. M.V.P. Chandra Sekhara Rao, Professor & Head CSBS,  RVR&JC college of Engineering, Guntur.

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