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Updated: Jan 29, 2026

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Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
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Validation of a Markerless Multi-Camera Pipeline for Bouldering Fall Kinematics
Nathan Carretier1, Erwan Beurienne2,3, Marie-Hélène Beauséjour1,4
1Department of Systems Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada.
Sensors (Basel, Switzerland)
|January 28, 2026
Summary
Markerless video analysis accurately measures indoor bouldering fall height and velocity, but inertial measurement units (IMUs) are still needed for precise impact acceleration data.
Area of Science:
- Biomechanics
- Sports Science
- Motion Analysis
Background:
- Indoor bouldering leads to frequent lower-limb injuries due to falls from heights up to 5m.
- Understanding fall kinematics is crucial but challenging due to the impracticality of lab-based motion capture in gyms.
Purpose of the Study:
- To validate a markerless multi-camera motion analysis system (Pose2Sim) against established methods.
- To assess Pose2Sim's accuracy for measuring displacement and velocity during indoor bouldering falls.
- To compare Pose2Sim's acceleration measurements with those from inertial measurement units (IMUs).
Main Methods:
- Ten teenage climbers performed 40 falls, recorded using five high-speed cameras and three IMUs.
- Pose2Sim (markerless video analysis) was validated against Kinovea (2D video analysis) and IMUs.
- Data processing involved setting cut-off frequencies using Yu's method for both video and IMU data.
Main Results:
- Pose2Sim closely matched Kinovea for fall height and peak velocity, with no significant differences.
- Pose2Sim underestimated peak acceleration compared to IMUs.
- No significant difference in acceleration was found at the forehead, potentially due to lower impact forces.
Conclusions:
- Markerless video analysis (Pose2Sim) is suitable for studying indoor bouldering fall kinematics and typology.
- IMUs are essential for accurately quantifying impact intensity.
- Future research should integrate video analysis and IMUs to capture comprehensive fall data.
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