Next Article in Journal
Standard of the Initial Ball Velocity for a Fly Ball in Baseball Hitting
Previous Article in Journal
2K-Reality and the Compliant Sports Augmentation Framework for Grassroots Sports
Proceeding Paper

Technologies to Aid Public Understanding in Running Performance

Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield S10 2LX, UK
*
Author to whom correspondence should be addressed.
Presented at the 13th conference of the International Sports Engineering Association, Online, 22–26 June 2020.
Proceedings 2020, 49(1), 26; https://doi.org/10.3390/proceedings2020049026
Published: 15 June 2020
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.
Keywords: non-invasive; running; gait; technology; engagement; public understanding non-invasive; running; gait; technology; engagement; public understanding
MDPI and ACS Style

Dunn, M.; Chiu, C.-Y.; Kelley, J.; Haake, S. Technologies to Aid Public Understanding in Running Performance. Proceedings 2020, 49, 26. https://doi.org/10.3390/proceedings2020049026

AMA Style

Dunn M, Chiu C-Y, Kelley J, Haake S. Technologies to Aid Public Understanding in Running Performance. Proceedings. 2020; 49(1):26. https://doi.org/10.3390/proceedings2020049026

Chicago/Turabian Style

Dunn, Marcus, Chuang-Yuan Chiu, John Kelley, and Steve Haake. 2020. "Technologies to Aid Public Understanding in Running Performance" Proceedings 49, no. 1: 26. https://doi.org/10.3390/proceedings2020049026

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop