The Heron Formula Approach for Head Movements Detection for Student Focus Detection during Pandemic Online Class

Head movement are widely used and utilized, there are many things that applying head movement as a main subject such as to control a device, control a smart wheelchair, playing games and many more. In this study, we propose a preliminary study to use the head movements as a focus detector for student in online learning. We use several approaches such as Face Landmark until Heron Triangle approach to detect and recognize the movement of the head. In this study, we utilize the Heron formulas to obtain the large of triangle that shaped using the marking point from Face Landmark method. By using the large of triangle, this proposed method could obtain and recognize the gaze of head movements. Our proposed method can reach 85% of accuracy and has an ability to detect the horizontal and vertical movements. This study is an important as an initial step to create a robust head movement detection system especially for online learning purposes.