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Proof of Concept of Automated Collision Detection Technology in Rugby Sevens
- Source :
- Journal of Strength and Conditioning Research. 31:1116-1120
- Publication Year :
- 2017
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2017.
-
Abstract
- Clarke, AC, Anson, JM, and Pyne, DB. Proof of concept of automated collision detection technology in rugby sevens. J Strength Cond Res 31(4): 1116-1120, 2017-Developments in microsensor technology allow for automated detection of collisions in various codes of football, removing the need for time-consuming postprocessing of video footage. However, little research is available on the ability of microsensor technology to be used across various sports or genders. Game video footage was matched with microsensor-detected collisions (GPSports) in one men's (n = 12 players) and one women's (n = 12) rugby sevens match. True-positive, false-positive, and false-negative events between video and microsensor-detected collisions were used to calculate recall (ability to detect a collision) and precision (accurately identify a collision). The precision was similar between the men's and women's rugby sevens game (∼0.72; scale 0.00-1.00); however, the recall in the women's game (0.45) was less than that for the men's game (0.69). This resulted in 45% of collisions for men and 62% of collisions for women being incorrectly labeled. Currently, the automated collision detection system in GPSports microtechnology units has only modest utility in rugby sevens, and it seems that a rugby sevens-specific algorithm is needed. Differences in measures between the men's and women's game may be a result of physical size, and strength, and physicality, as well as technical and tactical factors.
- Subjects :
- Adult
Male
Computer science
Monitoring ambulatory
Football
Monitoring, Ambulatory
Reproducibility of Results
Physical Therapy, Sports Therapy and Rehabilitation
030229 sport sciences
General Medicine
Collision
Young Adult
03 medical and health sciences
0302 clinical medicine
Proof of concept
Humans
Microtechnology
Female
Orthopedics and Sports Medicine
Collision detection
030212 general & internal medicine
Video game
Simulation
Subjects
Details
- ISSN :
- 10648011
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Journal of Strength and Conditioning Research
- Accession number :
- edsair.doi.dedup.....2cecf499c5d683a484372d9a44d2b9c3
- Full Text :
- https://doi.org/10.1519/jsc.0000000000001576