Department of Biomechanics, Kinesiology and Applied Computer Science, Centre for Sport Science and University Sports, University of Vienna, 1150 Vienna, Austria.
Sensors (Basel). 2011;11(10):9778-97. doi: 10.3390/s111009778. Epub 2011 Oct 19.
Position data of players and athletes are widely used in sports performance analysis for measuring the amounts of physical activities as well as for tactical assessments in game sports. However, positioning sensing systems are applied in sports as tools to gain objective information of sports behavior rather than as components of intelligent spaces (IS). The paper outlines the idea of IS for the sports context with special focus to game sports and how intelligent sports feedback systems can benefit from IS. Henceforth, the most common location sensing techniques used in sports and their practical application are reviewed, as location is among the most important enabling techniques for IS. Furthermore, the article exemplifies the idea of IS in sports on two applications.
运动员的位置数据在运动表现分析中被广泛应用,用于测量身体活动量以及竞技运动中的战术评估。然而,定位感应系统在体育中被应用为获取运动行为客观信息的工具,而不是智能空间(IS)的组成部分。本文概述了体育环境中的 IS 理念,特别关注竞技运动,以及智能运动反馈系统如何受益于 IS。因此,本文回顾了体育中最常用的位置感测技术及其实际应用,因为位置是 IS 最重要的使能技术之一。此外,本文通过两个应用实例说明了体育中的 IS 理念。