指导
运动员
计算机科学
可视化
可穿戴计算机
集合(抽象数据类型)
适应(眼睛)
分析
应用心理学
感知
人机交互
数据科学
心理学
人工智能
医学
神经科学
程序设计语言
心理治疗师
嵌入式系统
物理疗法
作者
Babak Moatamed,Sajad Darabi,Migyeong Gwak,Mohammad Kachuee,Casey J. Metoyer,Mike Linn,Majid Sarrafzadeh
标识
DOI:10.1109/hic.2017.8227608
摘要
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.
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