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Published on: May 26, 2020
Assessing Sprint Mechanical Outputs Derived from LPS, Radar and Laser Technologies in Basketball
Yannis Irid1,2,3, Éric Fenaux4, Roméo Legoupil1
1IRMES-UMR 7329, Institut de Recherche Médicale et d'Épidémiologie du Sport, Université de Paris Cité, 75012 Paris, France.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
Comparing sprint measurement tools in basketball, radar and laser systems closely agreed on maximal velocity. However, significant differences were found for acceleration metrics, indicating these outputs are not interchangeable between technologies.
Area of Science:
- Sports Science
- Biomechanics
- Performance Analysis
Background:
- Sprint mechanical profiling is crucial for team sports performance evaluation.
- The agreement between different field-based measurement systems for indoor sprints is not well-established.
Purpose of the Study:
- To compare sprint mechanical outputs (maximal velocity, acceleration) from Kinexon LPS, radar, and laser systems during indoor basketball sprints.
- To assess inter-system agreement and inter-trial reliability of these measurement technologies.
Main Methods:
- Twenty-two elite youth basketball players performed maximal 28m sprints.
- Sprint kinematics were simultaneously recorded using Kinexon LPS, radar, and laser.
- A mono-exponential model was used to derive theoretical maximal velocity (S0), maximal acceleration (A0), and acceleration time constant (Tau).
Main Results:
- Radar and laser showed high agreement for S0 (0.89% relative error).
- Kinexon LPS systematically overestimated S0 (5.26-6.49% relative error).
- Larger discrepancies were observed for acceleration parameters (A0 up to 3.92%, Tau up to 10.55% relative error).
- All systems demonstrated high inter-trial reliability (CV < 1.5% for S0, 3.7-4.7% for A0 and Tau).
Conclusions:
- Sprint mechanical outputs, especially acceleration metrics, cannot be used interchangeably across Kinexon LPS, radar, and laser systems.
- Despite inter-system differences, all technologies are reliable for longitudinal monitoring within a single system in basketball settings.

