Identification of movement categories and associated velocity thresholds for elite Gaelic football and hurling referees
نویسندگان
چکیده
The purpose of this study was to generate movement category velocity thresholds for elite Gaelic football (GF) and hurling referees using a two-stage unsupervised clustering technique. Activity data from 41 GF 38 collected global positioning system technology during 338 221 competitive games, respectively. elbow method used in stage one identify the number categories datasets. In two, respective each were identified spectral clustering. efficacy these examined regression analysis performed between median raw data. Five both (mean ± standard deviation: referees; 0.70±0.09, 1.66±0.19, 3.28±0.41, 4.87±0.61, 6.49±0.50 m·s?1; 0.69±0.11, 1.60±0.25, 3.09±0.52, 4.63±0.58, 6.35±0.43 m·s?1). With exception lowest threshold, all other significantly higher referees. newly generated more strongly associated with than traditional generic categories. provision unique will allow applied practitioners better quantify activity profile training competition.
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ژورنال
عنوان ژورنال: International Journal of Performance Analysis in Sport
سال: 2021
ISSN: ['1474-8185', '2474-8668']
DOI: https://doi.org/10.1080/24748668.2021.1942659