IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i17p6657-d1225853.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Medicine, State University of Mato Grosso do Sul, Campo Grande 79115-898, 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)

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.

Suggested Citation

  • Liliane Pinho de Almeida & Leandro Caetano Guenka & Danielle de Oliveira Felipe & Renato Porfirio Ishii & Pedro Senna de Campos & Thomaz Nogueira Burke, 2023. "Correlation between MOVA3D, a Monocular Movement Analysis System, and Qualisys Track Manager (QTM) during Lower Limb Movements in Healthy Adults: A Preliminary Study," IJERPH, MDPI, vol. 20(17), pages 1-11, August.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:17:p:6657-:d:1225853
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/17/6657/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/17/6657/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ana Patrícia Rocha & Hugo Miguel Pereira Choupina & Maria do Carmo Vilas-Boas & José Maria Fernandes & João Paulo Silva Cunha, 2018. "System for automatic gait analysis based on a single RGB-D camera," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-24, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:17:p:6657-:d:1225853. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.