  One of the major tasks in online education is to estimate the concentration
levels of each student. Previous studies have a limitation of classifying the
levels using discrete states only. The purpose of this paper is to estimate the
subtle levels as specified states by using the minimum amount of body movement
data. This is done by a framework composed of a Deep Neural Network and Kalman
Filter. Using this framework, we successfully extracted the concentration
levels, which can be used to aid lecturers and expand to other areas.
