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Relative and Absolute Reliability of a Motor Assessment System Using KINECT ® Camera

Author

Listed:
  • Gracia Castro-Luna

    (Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almeria, Spain)

  • Diana Jiménez-Rodríguez

    (Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almeria, Spain)

Abstract

(1) Background: Virtual reality is currently useful in different clinical specialties as a diagnostic and therapeutic tool. In this study, we analyzed the relative and absolute reliability of the motor evaluation with the Kinect camera, a markerless motion system. (2) Methods: Observational study in healthy people, whose inclusion criteria were: healthy people, age 18 to 40 years old without pathologies or injuries in osteoarticular structures or ligamentous muscle and pharmacological treatment with influence on motor skills. Fifty-two subjects were evaluated. (3) Results: The results of the relative reliability were favorable in variables such as the amplitude of passage of the right leg (ICC (Intraclass Correlation Coefficient) = 0.95 ± 0.03), the step width of the left leg (ICC = 0.92 ± 0.04) or balance of the left leg (ICC = 0.90 ± 0.05). Moderate values were found for other variables. The absolute reliability, measured by the coefficient of variation, was favorable in most of the variables. (4) Conclusions: The results reflect a favorable intraclass correlation in the evaluation of the variation and asymmetry of movements of the upper limbs, the balance of both legs, the side step width and the evaluation of the sitting and standing positions. The reliability of the evaluation of the variation of movements and the asymmetry of the lower limbs must be further improved.

Suggested Citation

  • Gracia Castro-Luna & Diana Jiménez-Rodríguez, 2020. "Relative and Absolute Reliability of a Motor Assessment System Using KINECT ® Camera," IJERPH, MDPI, vol. 17(16), pages 1-13, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5807-:d:397385
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    Cited by:

    1. Luiz H. Palucci Vieira & Paulo R. P. Santiago & Allan Pinto & Rodrigo Aquino & Ricardo da S. Torres & Fabio A. Barbieri, 2022. "Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context," IJERPH, MDPI, vol. 19(3), pages 1-13, January.

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