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Methods for Capturing and Quantifying Contact Events in Collision Sports.
Craig Bolger1,2, Jocelyn Mara1, Byron Field3
1Faculty of Health, Research Institute for Sport and Exercise, University of Canberra, Kirinari Street, Bruce, Canberra, ACT 2617, Australia.
Sports (Basel, Switzerland)
|April 25, 2025
Summary
Understanding player contact in team sports is crucial for performance and safety. This review evaluates current tracking methods and proposes notational analysis for better contact intensity assessment.
Area of Science:
- Sports Science
- Biomechanics
- Performance Analysis
Background:
- Wearable technology (e.g., GPS, MEMS, iMGs) is widely used in team sports to capture performance metrics.
- Contact events in collision sports impact performance and player welfare, necessitating accurate tracking.
- Current technological methods for detecting contact events have limitations in validity, reliability, and specificity.
Purpose of the Study:
- To review existing methods for capturing contact events in team collision sports.
- To introduce notational analysis as a novel method for assessing contact intensity.
- To offer an alternative for detecting contact events not easily captured by current microtechnology.
Main Methods:
- Review of current technological tracking systems (GPS, MEMS, iMGs, video analysis).
- Evaluation of limitations including validity, reliability, thresholds, and algorithm inconsistencies.
- Introduction and detailing of notational analysis for contact intensity assessment.
Main Results:
- Current microtechnology methods for contact detection have significant limitations.
- Notational analysis presents a viable alternative for assessing contact intensity.
- The proposed method addresses challenges in detecting certain contact events.
Conclusions:
- Accurate assessment of contact frequency and intensity is vital for athlete preparation and injury reduction.
- Notational analysis offers a promising approach to enhance the understanding of contact demands in team collision sports.
- Further research into sex- and code-specific algorithms for contact detection is warranted.
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