Instrumental Validity of the Motion Detection Accuracy of a Smartphone-Based Training Game

Bernhard Guggenberger, Andreas J. Jocham, Birgit Jocham, Alexander Nischelwitzer and Helmut Ritschl
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Bernhard Guggenberger: Department of Health Studies, University of Applied Sciences JOANNEUM, 8020 Graz, Austria
Andreas J. Jocham: Department of Health Studies, University of Applied Sciences JOANNEUM, 8020 Graz, Austria
Birgit Jocham: Department of Health Studies, University of Applied Sciences JOANNEUM, 8020 Graz, Austria
Alexander Nischelwitzer: Department of Applied Computer Sciences, University of Applied Sciences JOANNEUM, 8020 Graz, Austria
Helmut Ritschl: Department of Health Studies, University of Applied Sciences JOANNEUM, 8020 Graz, Austria

IJERPH, 2021, vol. 18, issue 16, 1-14

Abstract: Demographic changes associated with an expanding and aging population will lead to an increasing number of orthopedic surgeries, such as joint replacements. To support patients’ home exercise programs after total hip replacement and completing subsequent inpatient rehabilitation, a low-cost, smartphone-based augmented reality training game (TG) was developed. To evaluate its motion detection accuracy, data from 30 healthy participants were recorded while using the TG. A 3D motion analysis system served as reference. The TG showed differences of 18.03 mm to 24.98 mm along the anatomical axes. Surveying the main movement direction of the implemented exercises (squats, step-ups, side-steps), differences between 10.13 mm to 24.59 mm were measured. In summary, the accuracy of the TG’s motion detection is sufficient for use in exergames and to quantify progress in patients’ performance. Considering the findings of this study, the presented exer-game approach has potential as a low-cost, easily accessible support for patients in their home exercise program.

Keywords: telerehabilitation; physiotherapy; augmented reality; low-cost; training game; accuracy; smartphone (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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