B. Moatamed, Sajad Darabi, Migyeong Gwak, Mohammad Kachuee, Casey J. Metoyer, Mike Linn, M. Sarrafzadeh
{"title":"用于运动准备评估的运动分析平台","authors":"B. Moatamed, Sajad Darabi, Migyeong Gwak, Mohammad Kachuee, Casey J. Metoyer, Mike Linn, M. Sarrafzadeh","doi":"10.1109/HIC.2017.8227608","DOIUrl":null,"url":null,"abstract":"Many coaches and athletes are showing an increasing interest in training monitoring systems every year. There is a plethora of performance markers that can aid in a coaches assessment of physiological and psychological conditions of their athletes. These markers can indicate an athletes readiness for competition, adaptation to training, or risk for injury. However, studies have shown examination of these performance markers individually may not result in a clear perception of ones performance. Hence, an inclusive analysis of these metrics is required to achieve meaningful assessment. Recently with the growing use of wearable activity trackers, we have access to many of these markers. Currently, there are a few sport monitoring tools which are using a subset of these metrics and are mostly providing real-time data visualization to coaching staff. However, an appropriate athletic performance monitoring system should be intuitive, provide useful data analysis, feedback and reliable predictions to coaches and athletes. In this paper, we are proposing an athletic monitoring system which collects a comprehensive set of metrics and visualize them in real-time and informs coaches about athlete's readiness score.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Sport analytics platform for athletic readiness assessment\",\"authors\":\"B. Moatamed, Sajad Darabi, Migyeong Gwak, Mohammad Kachuee, Casey J. Metoyer, Mike Linn, M. Sarrafzadeh\",\"doi\":\"10.1109/HIC.2017.8227608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many coaches and athletes are showing an increasing interest in training monitoring systems every year. There is a plethora of performance markers that can aid in a coaches assessment of physiological and psychological conditions of their athletes. These markers can indicate an athletes readiness for competition, adaptation to training, or risk for injury. However, studies have shown examination of these performance markers individually may not result in a clear perception of ones performance. Hence, an inclusive analysis of these metrics is required to achieve meaningful assessment. Recently with the growing use of wearable activity trackers, we have access to many of these markers. Currently, there are a few sport monitoring tools which are using a subset of these metrics and are mostly providing real-time data visualization to coaching staff. However, an appropriate athletic performance monitoring system should be intuitive, provide useful data analysis, feedback and reliable predictions to coaches and athletes. In this paper, we are proposing an athletic monitoring system which collects a comprehensive set of metrics and visualize them in real-time and informs coaches about athlete's readiness score.\",\"PeriodicalId\":120815,\"journal\":{\"name\":\"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIC.2017.8227608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIC.2017.8227608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sport analytics platform for athletic readiness assessment
Many coaches and athletes are showing an increasing interest in training monitoring systems every year. There is a plethora of performance markers that can aid in a coaches assessment of physiological and psychological conditions of their athletes. These markers can indicate an athletes readiness for competition, adaptation to training, or risk for injury. However, studies have shown examination of these performance markers individually may not result in a clear perception of ones performance. Hence, an inclusive analysis of these metrics is required to achieve meaningful assessment. Recently with the growing use of wearable activity trackers, we have access to many of these markers. Currently, there are a few sport monitoring tools which are using a subset of these metrics and are mostly providing real-time data visualization to coaching staff. However, an appropriate athletic performance monitoring system should be intuitive, provide useful data analysis, feedback and reliable predictions to coaches and athletes. In this paper, we are proposing an athletic monitoring system which collects a comprehensive set of metrics and visualize them in real-time and informs coaches about athlete's readiness score.