Download PDFOpen PDF in browser

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

EasyChair Preprint 6524, version 2

Versions: 12history
2 pagesDate: September 6, 2021

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, highligthing differences between sets and reps, as well as the presence of asymmetries.

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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:6524,
  author    = {Mattia Stival and Leonardo Bidogia and Alessandro Volpe},
  title     = {Basas: a Graphical Tool to Investigate Variability, Repeatability and Asymmetries in Squat},
  howpublished = {EasyChair Preprint 6524},
  year      = {EasyChair, 2021}}
Download PDFOpen PDF in browser