A New Approach in Islamic Learning: Performance Evaluation of Motion Recognition System for Salat Movement

Abstract

In Muslim life, there is an important ritual that they need to do in their daily lives, a prayer known as salat. There was evidence that showed performing salat correctly is good for better health. This paper developed a motion recognition system for salat movement using a cooperative multisensor approach based on salat law. Existing work in this related field could recognize a few salat movements; however, they could not cover salat movements based on salat law by using a single camera. This paper presents the motion recognition system's usability study, named SalatLab using a cooperative multisensor approach. In this paper, the user's error rate was evaluated by the SalatLab prototype and tutor-based method to test if the proposed system can bridge the gap in assessing user error. The experiment was conducted to evaluate the user error rate in salat activity by comparing it with the traditional tutor-based methodology. Success scores in recognizing salat movement and user acceptance of the proposed prototype have also been evaluated. The results show a significant difference in error rate and success score assessed by the proposed system and tutor-based. However, the proposed prototype was accepted by the user and received good feedback.