Correlation between MOVA3D, a Monocular Movement Analysis System, and Qualisys Track Manager (QTM) during Lower Limb Movements in Healthy Adults: A Preliminary Study

Liliane Pinho de Almeida, Leandro Caetano Guenka (), Danielle de Oliveira Felipe, Renato Porfirio Ishii, Pedro Senna de Campos and Thomaz Nogueira Burke
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Liliane Pinho de Almeida: Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil
Leandro Caetano Guenka: Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil
Danielle de Oliveira Felipe: Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil
Renato Porfirio Ishii: Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil
Pedro Senna de Campos: Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil
Thomaz Nogueira Burke: Allied Health Institute, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil

IJERPH, 2023, vol. 20, issue 17, 1-11

Abstract: New technologies based on virtual reality and augmented reality offer promising perspectives in an attempt to increase the assessment of human kinematics. The aim of this work was to develop a markerless 3D motion analysis capture system (MOVA3D) and to test it versus Qualisys Track Manager (QTM). A digital camera was used to capture the data, and proprietary software capable of automatically inferring the joint centers in 3D and performing the angular kinematic calculations of interest was developed for such analysis. In the experiment, 10 subjects (22 to 50 years old), 5 men and 5 women, with a body mass index between 18.5 and 29.9 kg/m 2 , performed squatting, hip flexion, and abduction movements, and both systems measured the hip abduction/adduction angle and hip flexion/extension, simultaneously. The mean value of the difference between the QTM system and the MOVA3D system for all frames for each joint angle was analyzed with Pearson’s correlation coefficient (r). The MOVA3D system reached good (above 0.75) or excellent (above 0.90) correlations in 6 out of 8 variables. The average error remained below 12° in only 20 out of 24 variables analyzed. The MOVA3D system is therefore promising for use in telerehabilitation or other applications where this level of error is acceptable. Future studies should continue to validate the MOVA3D as updated versions of their software are developed.

Keywords: telerehabilitation; motion analysis; capture system (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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