Multicomponent Velocity Measurement for Linear Sprinting: Usain Bolt’s 100 m World-Record Analysis

Author:

Štuhec Stanislav1,Planjšek Peter2,Čoh Milan1,Mackala Krzysztof3ORCID

Affiliation:

1. Faculty of Sport, University of Ljubljana, Gortanova Ul. 22, 1000 Ljubljana, Slovenia

2. Ljubljana School of Business, Management and Informatics, Tržaška Cesta 42, 1000 Ljubljana, Slovenia

3. Faculty of Physical Education and Sport, Wroclaw University of Health and Sport Science, Ul. Paderewskiego 35, 51-612 Wrocław, Poland

Abstract

The purpose of this report is to provide additional analysis and commentary on the men’s 100 m world record of 9.58 s, set by Usain Bolt in the 2009 Berlin World Championships in Athletics. In addition, the entire race underwent a unique kinematic analysis, particularly emphasizing the maximum running velocity and its related factors. It was possible due the application of the new Stuhec software. The data were provided by LAVEG’S advanced laser measurement technology based on positional data with a high spatiotemporal resolution. The maximum velocity phase is the most critical determinant of the final race time. Bolt completed two phases in this world-record 100 m sprint: acceleration and top velocity. The borderline between these phases reached the highest velocity of 12.32 m/s on a 52 m run. He could keep the maximum velocity in five 10 m sections (50–100 m). The occurrence of functional asymmetry—the difference in step length between the left and right legs—was also noticed. Longer steps were taken with the left leg, almost over 80 m. From a practical point of view, new technologies (e.g., software) allow coaches and athletes to analyze the kinematic parameters of sprinting even more precisely and in detail. They must take into account precise changes in the course of maximum speed and the parameters determining it which are step length and frequency. Based on such an analysis, it is possible to modify the training process aimed at increasing the potential, both maximum speed and the supporting factors of strength and power. This must be conditioned by the appropriate selection of training measures shaping the abovementioned motor skills and parameters describing the optimal sprinting technique.

Publisher

MDPI AG

Subject

Bioengineering

Reference32 articles.

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