Eye tracking in high-performance sports: Evaluation of its application in expert athletes

Q2 Computer Science
Stephanie Hüttermann, B. Noël, D. Memmert
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引用次数: 35

Abstract

Abstract In the last thirty years, an increasing interest in sport sciences regarding the analysis of expert athletes’ gaze behavior has become apparent. This narrative review provides an overview of the use of eye tracking systems in high-performance sports from 1987 to 2016. A systematic search of the PubMed, Scopus, SPORTDiscus, and WebofScience databases was conducted. The search was performed using the keywords eye tracking, eye movement, gaze behavior/patterns, and visual search strategies in combination with high-performance sports, elite athletes, high-class athletes, sport experts, and top-athletes. It yielded a total of 86 studies of which almost half were conducted computer-based or in front of a screen. Most studies dealt with the analysis of gaze behavior during dead ball situations while also focusing on differences between expert athletes and novices. More high-quality intervention studies are essential to determine if there are ideal gaze strategies and, if yes, how it is possible to learn/implement these.
眼动追踪在高水平运动中的应用评价
摘要在过去的三十年里,体育科学对专业运动员凝视行为的分析越来越感兴趣。这篇叙述性综述概述了1987年至2016年在高性能运动中使用眼动追踪系统的情况。对PubMed、Scopus、SPORTDiscus和WebofScience数据库进行了系统检索。搜索使用关键词眼动追踪、眼球运动、凝视行为/模式和视觉搜索策略,结合高性能运动、精英运动员、高级运动员、体育专家和顶级运动员进行。它总共产生了86项研究,其中几乎一半是基于计算机或在屏幕前进行的。大多数研究都是分析死球情况下的凝视行为,同时也关注专业运动员和新手之间的差异。更多高质量的干预研究对于确定是否存在理想的凝视策略至关重要,如果存在,如何学习/实施这些策略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Computer Science in Sport
International Journal of Computer Science in Sport Computer Science-Computer Science (all)
CiteScore
2.20
自引率
0.00%
发文量
4
审稿时长
12 weeks
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