Effects of the Flying Start on Estimated Short Sprint Profiles Using Timing Gates

Over the last few years, I have been working on the short sprints profiling, thanks to the initial spark in 2020/21 by prof. Jason Vescovi who sent me a sample data. This resulted in the {shorts} R package hosted at the official CRAN repository, as well as few published papers (and few more in preparation), as well as the doctoral dissertation (thesis) that I have successfully defended on 21st of May, 2024 at the Faculty of Sport and Physical Education, University of Belgrade.

In the upcoming weeks I plan to publish the sprintPRO web-app to help practitioners non-familiar with the R language to create both acceleration-velocity and force-velocity profiles using split times. Additionally, I will publish an online course about the sprint profiling and hopefully compile a manual for practitioners.

So, there will be plenty of new material on the Complementary Training.

The video below provide an overview of the thesis (and two published papers from it) and practical take-aways. Make sure to read the full thesis which you can download below the video. Let me know if you have any questions or comments.

Also, now that I have PhD, I will be looking for post-doc positions. I have few places in mind since I wish the next project to be (dynamic) factor analysis of the motor space (or in plain English; analysis of the biomotor abilities).  But if you have something else that might be interesting and where my skillsets might offer some help, please be free to reach out.

 


You can download thesis here: Download PDF


 

Published material

  1. Jovanović, M., & Vescovi, J. (2022). {shorts}: An R Package for Modeling Short Sprints. International Journal of Strength and Conditioning, 2(1). https://doi.org/10.47206/ijsc.v2i1.74
  2. Jovanović, M. (2023). Bias in estimated short sprint profiles using timing gates due to the flying start: Simulation study and proposed solutions. Computer Methods in Biomechanics and Biomedical Engineering, 1–11. https://doi.org/10.1080/10255842.2023.2170713
  3. Jovanović, M. (2024). {shorts}: Short Sprints. R Package, Version 3.1.0. Available online: https://CRAN.R-project.org/package=shorts
  4. Jovanović M, et. al. (2024). Effects of the Flying Start on Estimated Short Sprint Profiles Using Timing Gates. Sensors, 24(9):2894. https://doi.org/10.3390/s24092894
  5. Vescovi, J. D., & Jovanović, M. (2021). Sprint Mechanical Characteristics of Female Soccer Players: A Retrospective Pilot Study to Examine a Novel Approach for Correction of Timing Gate Starts. Frontiers in Sports and Active Living, 3, 629694. https://doi.org/10.3389/fspor.2021.629694

Related Articles

Published Paper on Bias in Sprint Modeling

I am happy to announce that my pre-print paper “Bias in estimated short sprint profiles using timing gates due to the flying start” has been published in Computer Methods in Biomechanics and Biomedical Engineering. This publication is my last requirement for publishing and defending my Ph.D. thesis. Hopefully, finishing everything during the first half of this year.

Introducing SprintPRO: The Ultimate Sprint Profiling App

In the world of athletic performance, data-driven insights are the key to unlocking an athlete’s full potential. Whether you’re a coach, an athlete, or a sports scientist, understanding the nuances of an athlete’s sprint performance can make all the difference. That’s where SprintPRO comes in—a revolutionary web app designed to transform raw sprint data into meaningful acceleration-velocity and force-velocity profiles.

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