2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2021
DOI: 10.1109/icccnt51525.2021.9580041
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Automated Classroom Engagement Evaluation using Machine Learning for 180 Degree Camera Environment

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“…Therefore, it is desirable to monitor students' positive emotions. Panahi and Duraisamy [5] studied six types of emotions: anger, fear, happiness, neutral, sadness and surprise, to analyze student engagement. Similarly, another study by Meriem et al [6] computed a concentration index based on facial emotions.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is desirable to monitor students' positive emotions. Panahi and Duraisamy [5] studied six types of emotions: anger, fear, happiness, neutral, sadness and surprise, to analyze student engagement. Similarly, another study by Meriem et al [6] computed a concentration index based on facial emotions.…”
Section: Introductionmentioning
confidence: 99%