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| Web URL(s): | https://scisoc.confex.com/scisoc/2020am/meetingapp.cgi/Paper/125100
Last checked: 09/12/2023 |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Straw, Chase M.;
Wiese-Bjornstal, Diane;
Frykholm, Jeffrey;
Wolfe, Ethan;
Eckholm, Kaija |
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| Author Affiliation: | Straw: Assistant Professor, Soil and Crop Science, Texas A&M University, College Station, TX; Wiese-Bjornstal, Frykholm, Wolfe, and Eckholm: School of Kinesiology, University of Minnesota, Minneapolis, MN |
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| Title: | Wearable sensor technology and their potential for quantifying athlete performance in relation to sports field characteristics |
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| Section: | Turfgrass management and ecology poster (includes student competition)
Other records with the "Turfgrass management and ecology poster (includes student competition)" Section
C05 turfgrass science
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| Meeting Info.: | San Antonio, Texas: November 9-13, 2020 |
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| Source: | ASA, CSSA, SSSA International Annual Meeting. November 2020, p. 125100. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
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| # of Pages: | 1 |
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| Abstract/Contents: | "Several devices are commercially available to quantify surface properties of a sports field. These data are useful in creating thresholds for data-driven management decisions, rather than basing them solely on instinct. Once certain surface property thresholds are met, a field is oftentimes deemed as safe and playable, but the athletes themselves are also an important determinant for this conclusion. Understanding surface properties alongside athlete biomechanics and performance metrics can be valuable to minimize injury risk, maximize performance, and better understand field safety and playability under a variety of scenarios. The rapid improvements of athlete wearable sensor technologies present an exciting opportunity to collect these athlete data during actual competition. The objective of this case study is to present a simple demonstration of the potential for quantifying athlete performance in relation to field characteristics. Relationships were not made between athlete performance and objectively measure surface properties, rather athlete performance was compared between field types; natural turfgrass versus artificial turf. Nineteen collegiate female soccer athletes were equipped with GPS athlete performance trackers for two games (one game on each field type). Several athlete performance variables were measured from each athlete and compared between field types using t-tests. The athletes average speed was on average 0.25 m/s slower on natural grass (P<0.001). Athletes ran at speeds greater than 6 m/s on average 28.6 m longer on artificial turf (P<0.05). Overall distance ran and distance ran per minute were on average 1.0 km (P<0.05) and 11.5 m (P<0.05) longer on artificial turf, respectively. There was no significant difference in the athletes top speed between the two surfaces. Wearable technologies should be considered in larger studies, as well as in conjunction with objectively measured surface property data, to advance our knowledge of player-surface interactions and improve field management strategies in certain situations." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
Pictures, color
Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Straw, C. M., D. Wiese-Bjornstal, J. Frykholm, E. Wolfe, and K. Eckholm. 2020. Wearable sensor technology and their potential for quantifying athlete performance in relation to sports field characteristics. Agron. Abr. p. 125100. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2020am/meetingapp.cgi/Paper/125100
Last checked: 09/12/2023 |
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