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Increasing Measurement Agreement Between Different Instruments in Sports Environments: A Jump Height Estimation Case
Chiara Carissimo1, Annalisa D'Ermo2, Angelo Rodio2
1Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy.
Sensors (Basel, Switzerland)
|September 13, 2025
Summary
This study introduces an iterative method to harmonize jump height measurements from inertial and vision-based motion analysis tools. The approach ensures consistent athlete performance evaluation across different technologies.
Area of Science:
- Biomechanics
- Sports Science
- Measurement Science
Background:
- Accurate assessment of physical quantities, particularly in sports, is crucial for evaluating athlete performance and fitness.
- Motion analysis tools are widely used but can yield differing results due to varied methodologies and measurement principles.
- Discrepancies in measurements hinder homogeneous comparison of athlete data, impacting performance progression and inter-subject analysis.
Purpose of the Study:
- To develop a methodology for reconciling differing jump height measurements obtained from distinct motion analysis technologies.
- To enable coherent and comparable performance metrics for athletes, regardless of the measurement tools used.
- To provide a framework for integrating or transforming data from inertial and vision-based jump analysis systems.
Main Methods:
- An iterative approach was implemented to process two time series of jump height data.
- Two distinct technologies were analyzed: inertial measurement units and vision-based systems.
- The methodology offers three solutions: mapping inertial to vision-based, vision-based to inertial, or creating a comprehensive measurement.
Main Results:
- The developed methodology successfully addresses discrepancies between inertial and vision-based jump height estimations.
- It provides adaptable solutions for data harmonization, allowing for either direct comparison or the adoption of a single transformed measurement.
- The approach facilitates consistent performance tracking over time and standardized comparisons among athletes.
Conclusions:
- The proposed iterative methodology effectively unifies jump height data from different measurement systems.
- This enables reliable, homogeneous evaluation of athlete performance, crucial for training and competition.
- The findings support the adoption of standardized metrics for sports performance analysis, enhancing comparability and accuracy.
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