Validation of the Posture Analyzing and Virtual Reconstruction (PAViR) System for Measuring the Hip–Knee–Ankle Angle Using 2D Photogrammetry and Computer Vision
Carmen Aguilar Esteban, Elena Martinez Mendoza, Carla Martinez Navarro, Javier Torralba Estelles

TL;DR
This study validates a new non-invasive system for measuring lower limb angles using 2D photogrammetry and computer vision.
Contribution
The PAViR system is validated as a reliable alternative to existing tools for measuring the Hip–Knee–Ankle angle.
Findings
PAViR showed perfect correlation (r = 0.999) with Kinovea for HKA angle measurements.
Bland–Altman analysis confirmed clinically acceptable agreement within ±2°.
The system demonstrated minimal systematic bias and narrow limits of agreement.
Abstract
Background. Accurate assessment of lower limb alignment is critical in diagnostic decision-making for musculoskeletal disorders. This study aimed to validate the PAViR (Posture Analyzing and Virtual Reconstruction) system, a non-invasive device based on artificial vision and 2D photogrammetry, for measuring the Hip–Knee–Ankle (HKA) angle. Method. A total of sixty-one adult participants were evaluated using the PAViR system, and the results were compared against Kinovea, a validated open-source software commonly used for 2D kinematic and angular analysis in clinical and sports biomechanics. Statistical analyses included the Shapiro–Wilk test, Pearson correlation, and Bland–Altman plots. Results. The correlation between both systems was perfect (r = 0.999; p < 0.001). The Bland–Altman analysis showed differences of 0.03° (left) and 0.04° (right), with limits of agreement between −0.25°…
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Taxonomy
TopicsLower Extremity Biomechanics and Pathologies · Shoulder Injury and Treatment · Total Knee Arthroplasty Outcomes
