9786204732275 - computer vision: recognition of learners' cognitive statesin e-learning di rao, karu prasada; rao, m v p chandra sekhara; polinati, vinod babu (8 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: moluna, Greven, Germaniamoluna
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Computer Vision | Recognition of Learners' Cognitive statesin E-learning | Karu Prasada Rao (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204732275 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preig…u[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 108 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 95,33
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 comb…ining 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 61,63
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 combi…ning 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.
