Squat Kinematics Analysis Using Vicon and Affordable Motion-Capture Solutions

The analysis of human movement is crucial in biomechanical research and clinical practice. Quantitative movement analysis evaluates sports performance by tracking joint angles, segmental velocities, and body positions. There are high-accuracy motion-tracking systems like Vicon Motion Systems (Oxford, UK) or OptiTrack (Corvallis, OR, USA), but they are expensive, require expertise, and lack portability. This study assessed a low-cost virtual reality-based motion-tracking system with a customized eMotion data acquisition and analysis application to describe joint movements during squatting. The system, which utilizes commonly available virtual reality accessories, successfully collected kinematic data and continuous tracker trajectories. The results showed high repeatability comparable to advanced optoelectronic motion-capture systems. The eMotion system protocols exhibited low variability for most rotations, with inter-trial values ranging from 0.65° to 2.20° except for hip and knee flexion, which reached 3.09° and 4.01°. The motion-tracking technology that is part of VR headsets has great potential in supporting training and rehabilitation by enabling quantitative assessment of any activity in both the real and virtual worlds. The use of low-cost solutions can increase the potential for human motion measurements in clinical practice and biomechanical research.

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Publication Details

Journal
Sensors
Published
2025-05-23
DOI
https://doi.org/10.3390/s25113294
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
3.44

Funders

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article

Squat Kinematics Analysis Using Vicon and Affordable Motion-Capture Solutions

Celina Pezowicz, Magdalena Żuk, Michał Popek, Urszula Czajkowska et al.
2 citations
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article

Squat Kinematics Analysis Using Vicon and Affordable Motion-Capture Solutions

Celina Pezowicz, Magdalena Żuk, Michał Popek, Urszula Czajkowska, Bogna Leśnik
article en
2 citations

Abstract

The analysis of human movement is crucial in biomechanical research and clinical practice. Quantitative movement analysis evaluates sports performance by tracking joint angles, segmental velocities, and body positions. There are high-accuracy motion-tracking systems like Vicon Motion Systems (Oxford, UK) or OptiTrack (Corvallis, OR, USA), but they are expensive, require expertise, and lack portability. This study assessed a low-cost virtual reality-based motion-tracking system with a customized eMotion data acquisition and analysis application to describe joint movements during squatting. The system, which utilizes commonly available virtual reality accessories, successfully collected kinematic data and continuous tracker trajectories. The results showed high repeatability comparable to advanced optoelectronic motion-capture systems. The eMotion system protocols exhibited low variability for most rotations, with inter-trial values ranging from 0.65° to 2.20° except for hip and knee flexion, which reached 3.09° and 4.01°. The motion-tracking technology that is part of VR headsets has great potential in supporting training and rehabilitation by enabling quantitative assessment of any activity in both the real and virtual worlds. The use of low-cost solutions can increase the potential for human motion measurements in clinical practice and biomechanical research.

SensorsVol. 25(11)
Wrocław University of Science and Technology (PL), AGH University of Krakow (PL)
Politechnika Wrocławska
Openalex Percentile: Top 9%
Sports Performance and Training
3.44
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