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Volume 2, Issue 1
Attentiveness Predictor
Author: Dr. Asif Ali, Aadarsh Laad, Aditya Chouhan, Al-akmarShafin, Atik Raiwale, and Gourav Parwal
Abstract:
As the world is suffering from COVID 19 pandemic, it has drastically impacted each sector. The educational institutes have been shifted to the online platforms. Attending lectures in the physical classroom is an easy method of learning as well as for teaching but due to pandemic effects the study has shifted to online platforms resulting in a virtual gap between teacher and student. While teaching physically one can observe the learner’s attentiveness and understanding but online lectures make it impossible to observe every single student’s activity so with the help of image processing and computer vision, a model has been developed to report the teacher about the emotion and attentiveness of the learners. This application is based on image processing and analysis of the screenshots captured during the lecture.
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