Technologies to Aid Public Understanding in Running Performance

DUNN, Marcus, CHIU, Chuang-Yuan, KELLEY, John and HAAKE, Steve (2020). Technologies to Aid Public Understanding in Running Performance. Proceedings, 49 (1), e26.

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Open Access URL: https://www.mdpi.com/2504-3900/49/1/26 (Published version)
Link to published version:: https://doi.org/10.3390/proceedings2020049026
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    Abstract

    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.

    Item Type: Article
    Additional Information: ** From MDPI via Jisc Publications Router ** Licence for this article: https://creativecommons.org/licenses/by/4.0/ **Journal IDs: eissn 2504-3900 **History: published 15-06-2020
    Uncontrolled Keywords: non-invasive, running, gait, technology, engagement, public understanding
    Identification Number: https://doi.org/10.3390/proceedings2020049026
    Page Range: e26
    SWORD Depositor: Colin Knott
    Depositing User: Colin Knott
    Date Deposited: 18 Jun 2020 09:02
    Last Modified: 18 Jun 2020 19:04
    URI: http://shura.shu.ac.uk/id/eprint/26471

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