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Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study

Authors :
Charly Fornasier-Santos
Axelle Arnould
Jérémy Jusseaume
Benjamin Millot
Gaël Guilhem
Antoine Couturier
Pierre Samozino
Jean Slawinski
Jean-Benoît Morin
Source :
Sensors, Vol 22, Iss 22, p 8610 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force–velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s−1), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all

Details

Language :
English
ISSN :
14248220
Volume :
22
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.9c35b4cf859946b8bd0a62a1ea53c677
Document Type :
article
Full Text :
https://doi.org/10.3390/s22228610