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

机译:伊斯兰学习的一种新方法:萨拉特运动运动识别系统的性能评价

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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.
机译:在穆斯林生活中,有一个重要的仪式,他们需要在日常生活中进行,这是一个称为萨拉特的祈祷。有证据表明表演萨拉特正确,对更好的健康有益。本文开发了一种使用基于Salat法的协作多传感器方法的萨拉特运动运动识别系统。本相关领域的现有工作可以识别一些萨拉特动作;但是,它们无法通过使用单个摄像头基于Salat法覆盖Salat运动。本文介绍了使用合作多传感器方法命名Salatlab的运动识别系统的可用性研究。在本文中,用户的错误率由SALATLAB原型和基于导师的方法进行评估,以测试建议的系统是否可以在评估用户错误时桥接间隙。通过将其与传统的基于导师的方法进行比较来进行实验以评估萨拉特活动中的用户错误率。还评估了识别Salat运动和用户接受所提出的原型的成功分数。结果表明,由拟议的系统和教师为基础评估的错误率和成功分数的显着差异。然而,所提出的原型被用户接受并获得了良好的反馈。

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