DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION

Bojanac, Fabian

doi:10.54478/ers.35.48.6

ERS : EDUKACIJA REKREACIJA SPORT, Vol. 35. No. 48., 2026.

Professional paper

https://doi.org/10.54478/ers.35.48.6

DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION

Fabian Bojanac ; Student University of Rijeka, Faculty of Health Studies

Full text: croatian pdf 300 Kb

page 45-49

downloads: 0

cite

APA 6th Edition

Bojanac, F. (2026). DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION. ERS, 35. (48.), 45-45. https://doi.org/10.54478/ers.35.48.6

MLA 8th Edition

Bojanac, Fabian. "DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION." ERS, vol. 35., no. 48., 2026, pp. 45-45. https://doi.org/10.54478/ers.35.48.6. Accessed 13 Oct. 2026.

Chicago 17th Edition

Bojanac, Fabian. "DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION." ERS 35., no. 48. (2026): 45-45. https://doi.org/10.54478/ers.35.48.6

Harvard

Bojanac, F. (2026). 'DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION', ERS, 35.(48.), pp. 45-45. https://doi.org/10.54478/ers.35.48.6

Vancouver

Bojanac F. DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION. ERS [Internet]. 2026 [cited 2026 October 13];35.(48.):45-45. https://doi.org/10.54478/ers.35.48.6

IEEE

F. Bojanac, "DEVELOPMENT AND IMPLEMENTATION OF AN APPLICATION FOR MEASURING RANGE OF MOTION USING COMPUTER VISION", ERS, vol.35., no. 48., pp. 45-45, 2026. [Online]. https://doi.org/10.54478/ers.35.48.6

Abstract

Measuring range of motion is crucial in physiotherapy. The aim was to evaluate a custom MediaPipe app for markerless kinematics against a goniometer. Five movements were tested on 3 subjects. The app showed high accuracy for movements of shoulder abduction and hip retroflexion (MAE<3°), acceptable for movements of hip and knee flexion (MAE<7°) but unacceptable for the movement of elbow flexion (MAE=16°). In conclusion, 2D computer vision shows potential but suffers from foreshortening.