Head Movement Detection using Deep Learning and Face Edge Detection (FED) Method

The main problem of online learning is the effectiveness and the hesitation of student focus during the activities. Lot of things could be the trigger for student to lost their focuses. One of the ways to deal with these problem is to monitor the movement of their head during class to ensure that they still keep on their focus. But, it is a problem when we deal with lot of students. In this research we proposed a method to identified and detect the movement of the head such as rightward, leftward and forward by utilizing the distance of the eye location. Deep Learning method such as MTCNN is utilized, furthermore, Face Edge Detection (FED) also added to obtain a better approach to detect the head movement. Using the combination of MTCNN and FED, we also produce 88, 5% of accuracy.