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It aims at analyzing and responding to problems related to the detection of faces to automatically deduce emotions and study student engagement.
The objective of this article is to present a literature review on the work that was carried out on the detection of students' emotions during a course; it aims ...
A mechanism has been developed to estimate student engagement levels and emotions, and the results show that it is possible to measure participation, ...
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For this study, OpenCV is used for face recognition as it is an open-source library and is free of cost. OpenCV also provides ready-to-use methods with advanced ...
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In this paper, we conduct a systematic review of facial and pose emotion recognition using DL and computer vision, analyzing and evaluating 77 papers from ...
The Facial Action Cod- ing System (FACS), which breaks down facial expressions into the basic movements of certain muscles or groups of muscles, is then ...
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This study develops an e-learning system that can recognize students' emotions in real time and provide corresponding feedback.
Missing: Detection Systematic Review.
Oct 22, 2024 · In this paper, we conduct a systematic review of facial and pose emotion recognition using DL and computer vision, analyzing and evaluating 77 papers from ...
(SVM(Gabor)): this approach has achieved some of the highest accuracies in the literature for facial action and basic emotion classification [35].
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Apr 1, 2024 · The data from the videos recorded and sent by students is processed to determine the extent of student engagement and identify their emotions.