Computer Vision based Attentiveness Detection Methods in E-Learning

In this paper, we have reviewed the current state of the art about attentiveness detection methods used in e-learning. Classification of the prior works is done based on features measured, affective states considered, affect classification method and e-learning context. We have listed the drawbacks of webcam based elearning systems. We have also proposed a framework for elearning classroom. The different attention patterns exhibited by students under e-learning are studied. The potential applications of attentiveness detection system in e-learning are explored.