Usability Study of Enhanced Salat Learning Approach using
Motion Recognition System
Nor Azrini Jaafar, Nor Azman Ismail, and Yusman Azimi
Yusoff
Faculty of Engineering, Universiti Teknologi Malaysia,
Malaysia
Abstract: Salat learning is one of the most important processes
for every Muslim. The current learning approach requires the teacher or expert
to be present in the learning session, which is time and resource-consuming.
Previous researchers use both wearable and non-wearable sensors to recognize
salat movement. They focus on specific salat movement rather than complete
salat movement cycle. This paper present a motion recognition system to enhance
salat learning experience. The system helps users recognize the complete salat
movements cycle based on salat law by using a multisensor setup for better
tracking capability. Three evaluations are conducted to validate the system's
performance and its contribution. The first evaluation is to measure success
score in recognition accuracy and identify user error. The second evaluation is
conducted to compare the proposed system with the traditional-based
methodology, and the last evaluation focuses on the user experience and
acceptance of the proposed system. The result from performance evaluation shows
the system has high accuracy in recognizing salat movement. There is a
significant difference in the error rate and success score when comparing the
learning methodology. However, users provide positive feedback based on the
survey conducted after using the proposed system.
Keywords: Salat
Learning, motion recognition, salat law, learning
methodology.
Received February 20, 2021; accepted March 7, 2021