Learner’s Intelligent Emotion Detection System in U-learning Environment

Abstract

The u-learning systems has different application platform are becoming popular. However, because of u-learning that virtually done from real classroom, the challenge is to evaluate the real emotions of the students towards the u-learning environment, perception to peers and teacher. The e-learner’s intelligent emotion detection gets the information in real time bases from the virtual class where the students are connected. The different expression of eyes, lips and face are detected real-time. Based on the detection, it is being compared to the pre-determined map of shapes and compare to the data stored in database. The proposed method stated can assist a developer to create a system that can detect the negative mood of the students in an u-learning environment. Using this metrics, the system can analyze whether the student felt bored or interested on a particular content of learning aid thereby providing a continuous feedback mechanism to instructor for enhancing the content and keeping the topics updated and interesting.