Posture measurements for estimating the behavior of students during e-learning

Abstract

In online education, the lecturer often finds it hard to grasp the behavior of the students, especially when they are spatially widely distributed and the lecturer cannot see them all together through a single video phone. To overcome this problem, a method of estimating the behavior of the student using posture measurement is proposed. Pressure sensors and an infrared distance sensor were used to record the posture. The recordings showed different distributions of mean and variance as the subject conducted different tasks. Based on these observations, features were constructed from raw recording values. The features enabled successful classi.cation of tasks that the subjects are involved in.