文章基本信息

标题：Technologies to Aid Public Understanding in Running Performance
本地全文：下载
作者：Marcus Dunn ; Chuang-Yuan Chiu ; John Kelley 等
期刊名称：Proceedings
电子版ISSN：2504-3900
出版年度：2020
卷号：54
期号：36
页码：26
DOI：10.3390/proceedings2020049026
语种：English
出版社：MDPI AG
摘要：Measurement technologies and visualisation techniques are changing the way public audiences engage with televised coverage of sport. However, the adoption of measurement technologies for broadcast coverage of running—to engage audiences and improve public understanding of performance—has been limited. This might reflect measurement challenges of athletic competition environments; athlete-worn measurement devices can be impractical, and video-based analyses typically require well-defined input videos for analysis (e.g., calibration, etc.). Recently, single-camera and calibration-independent video processing has advanced practical analyses of running performance in sports environments. This paper presents (1) the application of a method to quantify temporal running parameters using broadcast footage of 100 m sprint and 1-mile endurance running, (2) the application of human posture detection to quantify spatial running parameters using hand-held action camera footage and (3) examples of co-developed data visualisations, aimed at improving public engagement and understanding of running performance.