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Více informací o knize Computer Vision

• Parametry knihy
• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Sozialwissenschaften, Recht, Wirtschaft Soziologie Methoden der empirischen und qualitativen Sozialforschung

• Plný název: Computer Vision
• Autor: M V P Chandra Sekhara Rao, Vinod Babu Polinati
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 108
• EAN: 9786204732275
• ISBN: 6204732277
• ID: 38481501
• Nakladatelství: LAP LAMBERT Academic Publishing
• Hmotnost: 179 g
• Rozměry: 220 × 150 × 6 mm
• Datum vydání: 20. December 2021

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