Gesture-based Sports Training Video Recording System

L. W. Amarasinghe, Ruwan Dharshana Nawarathna
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Abstract

Today with the rapid growth of technology and usage of internet services, e-training has become one of the latest trends in the sports and education sectors. This study examines an innovative approach in the form of an intelligent cloud-based system to enhance the current e-training procedures for indoor sports such as table tennis and badminton. The proposed gesture-based sports training recording system is a cloud-based web application that uses intelligent techniques to provide an interactive e-training experience to users of the system. In the proposed system, a Pan-Tilt-Zoom (PTZ) IP camera setup recognizes the gestures of the trainer and trainees during the practice session. The camera intelligently identifies specific gestures performed by the trainer to position it towards the trainee with the aid of gesture recognition algorithms. This paper also presents an evaluation of the gesture recognition module. This is an innovative system capable of taking e-training to the next level as it provides a complete training experience and makes the whole learning and teaching process efficient and relaxing.
基于手势的运动训练录像系统
今天,随着技术的快速发展和互联网服务的使用,电子培训已成为体育和教育领域的最新趋势之一。本研究探讨了一种创新的方法,以智能云系统的形式,加强目前室内运动(如乒乓球和羽毛球)的电子训练程序。所提出的基于手势的运动训练记录系统是一个基于云的web应用程序,它使用智能技术为系统的用户提供交互式的电子训练体验。在提出的系统中,一个泛倾斜变焦(PTZ) IP摄像机设置识别训练师和学员在练习期间的手势。借助手势识别算法,摄像头可以智能识别训练者所做的特定手势,并将其定位到训练者的方向。本文还对手势识别模块进行了评价。这是一个创新的系统,能够将电子培训提升到一个新的水平,因为它提供了一个完整的培训体验,使整个学习和教学过程高效和轻松。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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