Basas: a Graphical Tool to Investigate Variability, Repeatability and Asymmetries in Squat

EasyChair Preprint no. 6524, version 1

Abstract

Assessment of athletic gestures plays a critical role in sports' performance evaluation and rehabilitation. In this context, it is important to know how to evaluate the repeatability and variability of the gesture, as well as the possible presence of asymmetries. In this pilot study, squats performed at different loads by an athlete (female, 55 kg) are analyzed. A graphical tool combining a functional data analysis approach  with non-parametric bootstrapping is proposed (Bootstrap Analysis of Speed and Angles in Squat, BASAS). The approach is versatile and applicable to other activities. In addition, it provides understandable results with few trials, highlighing differences between sets and reps, as well as the presence of aymmetries.

Keyphrases: Bilateral asymmetry, Rehabilitation, Sport Performance, squat, weight training

@Booklet{EasyChair:6524,
  author = {Mattia Stival and Alessandro Volpe and Leonardo Bidogia},
  title = {Basas: a Graphical Tool to Investigate Variability, Repeatability and Asymmetries in Squat},
  howpublished = {EasyChair Preprint no. 6524},

  year = {EasyChair, 2021}}