Modeling and Error Analysis in Camera-Based Jump Height Measurement

Abstract Introduction: In this work, we use simulated data to quantify the different failure mechanisms of a previously presented low-cost jump height measurement system, based on widely available consumer smartphone technology. Methods: order assess importance preconditions algorithm, generate synthetic dataset 2000 random parabolas for randomly generated persons without real-world artifacts. We then selectively add perturbations and reconstruct using evaluated algorithm. The degree which manipulations influence reconstructed gives us insights into how critical each precondition is method’s accuracy. Results: For subject-to-camera distance 2.5 meters, found most important influences be tracking inaccuracies changes (non-vertical jumps). These are also difficult factors control. Camera angle lens distortion easier handle in practice have very low impact height. intraclass correlation value ICC(3,1) between true reconstruction from distorted ranges 0.999 mild 0.988 more severe distortions. Conclusion: Our results support design future studies tools accurate affordable measurement, can used individual fitness, sports medicine, rehabilitation applications.