{"product_id":"computer-vision-von-karu-prasada-rao-m-v-p-chandra-sekhara-rao-und-vinod-babu-polinati","title":"Computer Vision","description":"\u003cp\u003eThe 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786204732275\"\u003e\u003ch3\u003eRecognition of Learners' Cognitive statesin E-learning\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9786204732275","offer_id":39719009812573,"sku":"9786204732275","price":60.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/adc6c622-dc86-41c3-a460-addfd7f2e11f.png?v=1755663583","url":"https:\/\/shop.autorenwelt.de\/products\/computer-vision-von-karu-prasada-rao-m-v-p-chandra-sekhara-rao-und-vinod-babu-polinati","provider":"Autorenwelt Shop","version":"1.0","type":"link"}