{"title":"理解带有语音反馈的实时动作捕捉系统对网球投掷训练的影响","authors":"R. Dhinesh, S. Preejith, M. Sivaprakasam","doi":"10.1109/MeMeA57477.2023.10171905","DOIUrl":null,"url":null,"abstract":"Skill learning in sports for beginners requires the attention of a trainer to achieve consistency and repeatability of actions by developing suitable muscle memory. The effectiveness of training may be compromised due to the skewed number of trainers and players, leaving the potential of determined and able individuals untapped. The proposed solution addresses this problem through a technology solution to aid training by customized monitoring of specific actions and providing suggestions for corrections in real-time. A wearable system consisting of wireless inertial sensor devices measures anatomic angles for repetitive motions during practice associated with skill learning. Correctness is determined in real-time by comparing the angles measured for actions with those of the trainer recommended actions. It is then evaluated by a voice feedback mechanism contained in the system and suggestions for incorporating action refinements are delivered. A short-term study involving beginner level tennis players was conducted to validate the effectiveness of the proposed solution. The system measured angles during the tennis serve tossing action and provided suggestions for hand positioning to develop consistent toss. Real-time recommendations were given through the voice feedback mechanism, and its effects on players are quantified through statistical metrics. Analysis indicates 8 out of 13 players showed significant improvement in serving upon introduction of the system. On-the-field measurements and prompt feedback for corrections based on recommendations customized for each player show immense potential in accelerating skill perfection through assisted training.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the Effects of a Real-time Motion Capture System with Voice Feedback for Tennis Toss Training\",\"authors\":\"R. Dhinesh, S. Preejith, M. Sivaprakasam\",\"doi\":\"10.1109/MeMeA57477.2023.10171905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Skill learning in sports for beginners requires the attention of a trainer to achieve consistency and repeatability of actions by developing suitable muscle memory. The effectiveness of training may be compromised due to the skewed number of trainers and players, leaving the potential of determined and able individuals untapped. The proposed solution addresses this problem through a technology solution to aid training by customized monitoring of specific actions and providing suggestions for corrections in real-time. A wearable system consisting of wireless inertial sensor devices measures anatomic angles for repetitive motions during practice associated with skill learning. Correctness is determined in real-time by comparing the angles measured for actions with those of the trainer recommended actions. It is then evaluated by a voice feedback mechanism contained in the system and suggestions for incorporating action refinements are delivered. A short-term study involving beginner level tennis players was conducted to validate the effectiveness of the proposed solution. The system measured angles during the tennis serve tossing action and provided suggestions for hand positioning to develop consistent toss. Real-time recommendations were given through the voice feedback mechanism, and its effects on players are quantified through statistical metrics. Analysis indicates 8 out of 13 players showed significant improvement in serving upon introduction of the system. On-the-field measurements and prompt feedback for corrections based on recommendations customized for each player show immense potential in accelerating skill perfection through assisted training.\",\"PeriodicalId\":191927,\"journal\":{\"name\":\"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MeMeA57477.2023.10171905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA57477.2023.10171905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding the Effects of a Real-time Motion Capture System with Voice Feedback for Tennis Toss Training
Skill learning in sports for beginners requires the attention of a trainer to achieve consistency and repeatability of actions by developing suitable muscle memory. The effectiveness of training may be compromised due to the skewed number of trainers and players, leaving the potential of determined and able individuals untapped. The proposed solution addresses this problem through a technology solution to aid training by customized monitoring of specific actions and providing suggestions for corrections in real-time. A wearable system consisting of wireless inertial sensor devices measures anatomic angles for repetitive motions during practice associated with skill learning. Correctness is determined in real-time by comparing the angles measured for actions with those of the trainer recommended actions. It is then evaluated by a voice feedback mechanism contained in the system and suggestions for incorporating action refinements are delivered. A short-term study involving beginner level tennis players was conducted to validate the effectiveness of the proposed solution. The system measured angles during the tennis serve tossing action and provided suggestions for hand positioning to develop consistent toss. Real-time recommendations were given through the voice feedback mechanism, and its effects on players are quantified through statistical metrics. Analysis indicates 8 out of 13 players showed significant improvement in serving upon introduction of the system. On-the-field measurements and prompt feedback for corrections based on recommendations customized for each player show immense potential in accelerating skill perfection through assisted training.