{"title":"Gesture-based Sports Training Video Recording System","authors":"L. W. Amarasinghe, Ruwan Dharshana Nawarathna","doi":"10.1109/MERCon52712.2021.9525680","DOIUrl":null,"url":null,"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.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"111 1","pages":"351-355"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Moratuwa Engineering Research Conference (MERCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MERCon52712.2021.9525680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.