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Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning.
Aitcheson-Huehn, Nikki; MacPherson, Ryan; Panchuk, Derek; Kiefer, Adam W.
Afiliación
  • Aitcheson-Huehn N; Human Movement Science Curriculum, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • MacPherson R; Department of Exercise and Sport Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Panchuk D; Chiron Performance, Charnwood, ACT, Australia.
  • Kiefer AW; Human Movement Science Curriculum, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
J Sport Exerc Psychol ; 46(5): 293-300, 2024 Oct 01.
Article en En | MEDLINE | ID: mdl-39244200
ABSTRACT
Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training interventions. This study predicted basketball shot outcome (make or miss) from visuomotor control variables using a decision tree classification approach. Twelve basketball athletes completed 200 shots from six on-court locations while wearing mobile eye-tracking glasses. Training and testing data sets were used for modeling eight predictors (shot location, arm extension time, and absolute and relative QE onset, offset, and duration) via standard and conditional inference decision trees and random forests. On average, the trees predicted over 66% of makes and over 50% of misses. The main predictor, relative QE duration, indicated success for durations over 18.4% (range 14.5%-22.0%). Training to prolong QE duration beyond 18% may enhance shot success.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Desempeño Psicomotor / Baloncesto / Rendimiento Atlético / Aprendizaje Automático Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: J Sport Exerc Psychol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Desempeño Psicomotor / Baloncesto / Rendimiento Atlético / Aprendizaje Automático Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: J Sport Exerc Psychol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos