Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Sep 2;7(3):65.
doi: 10.3390/jfmk7030065.

Repeatability of Motion Health Screening Scores Acquired from a Three-Dimensional Markerless Motion Capture System

Affiliations

Repeatability of Motion Health Screening Scores Acquired from a Three-Dimensional Markerless Motion Capture System

Dimitrije Cabarkapa et al. J Funct Morphol Kinesiol. .

Abstract

The purpose of the present study was to examine the repeatability of five algorithm-derived motion health screening scores (i.e., readiness, explosiveness, functionality, quality, and dysfunction) obtained from an innovative three-dimensional markerless motion capture system, composed of eight high-definition cameras recording at 60 fps. Thirteen females and six males performed two sets of three motion capture screenings, separated one week apart (six in total). The screenings consisted of 20 body movements performed in sequential order. Each screening within a testing session was separated by a 30 min rest interval to avoid the possible influence of fatigue. A trained research team member, facing the participant and standing outside of the camera capture range, was present to demonstrate each individual movement. The order in which motions were performed was identical across all participants. Repeated measures analysis of variance and intraclass correlation coefficients were used to examine statistically significant differences and measurement agreement across six testing sessions. The findings of the present study revealed no significant differences in algorithm-based motion health screening scores across multiple testing sessions. Moreover, excellent measurement reliability was found for readiness scores (ICC, 95% CI; 0.957, 0.914-0.980), good-to-excellent for functionality (0.905, 0.821-0.959) and explosiveness scores (0.906, 0.822-0.959), and moderate-to-excellent for dysfunction (0.829, 0.675-0.925) and quality scores (0.808, 0.635-0.915).

Keywords: assessment; biomechanics; exercise; human motion; measurement; technology.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Graphical representation of body movements incorporated in motion health screening protocol; (a) shoulder abduction and adduction, (b) shoulder horizontal abduction, (c) shoulder internal and external rotation, (d) shoulder flexion and extension.
Figure 2
Figure 2
Graphical representation of body movements incorporated in motion health screening protocol; (a) cervical rotation; (b) trunk rotation; (c) trunk extension and flexion.
Figure 3
Figure 3
Graphical representation of body movements incorporated in motion health screening protocol; (a) bilateral squat, (b) right leg squat, (c) left leg squat, (d) right leg lunge, (e) left leg lunge, (f) right leg balance.
Figure 4
Figure 4
Graphical representation of body movements incorporated in motion health screening protocol; (a) left leg balance, (b) bilateral standing vertical jump, (c) concentric jump.
Figure 5
Figure 5
Graphical representation of body movements incorporated in motion health screening protocol; (a) left stork stance, (b) right stork stance, (c) standing double leg balance, (d) tandem stance balance.
Figure 6
Figure 6
Quality scores across six capture time points. Gray lines represent values for each subject (solid—female; dashed—male) and the black bolded line represents the overall mean.
Figure 7
Figure 7
Readiness scores across six capture time points. Gray lines represent values for each subject (solid—female; dashed—male) and the black bolded line represents the overall mean.
Figure 8
Figure 8
Explosiveness scores across six capture time points. Gray lines represent values for each subject (solid—female; dashed—male) and the black bolded line represents the overall mean.
Figure 9
Figure 9
Functionality scores across six capture time points. Gray lines represent values for each subject (solid—female; dashed—male) and the black bolded line represents the overall mean.
Figure 10
Figure 10
Dysfunction scores across six capture time points. Gray lines represent values for each subject (solid—female; dashed—male) and the black bolded line represents the overall mean.

References

    1. Bird M.B., Mi Q., Koltun K.J., Lovalekar M., Martin B.J., Fain A., Nindl B.C. Unsupervised clustering techniques identify movement strategies in the countermovement jump associated with musculoskeletal injury risk during US marine corps officer candidates school. Front. Phys. 2022;13:787. doi: 10.3389/fphys.2022.868002. - DOI - PMC - PubMed
    1. Daggett M.C., Witte K.A., Cabarkapa D., Cabarkapa D.V., Fry A.C. Evidence-based data models for return-to-play criteria after anterior cruciate ligament reconstruction. Healthcare. 2022;10:929. doi: 10.3390/healthcare10050929. - DOI - PMC - PubMed
    1. Weinhandl J.T., Armstrong B.S., Kusik T.P., Barrows R.T., O’Connor K.M. Validation of a single camera three-dimensional motion tracking system. J. Biomech. 2010;43:1437–1440. doi: 10.1016/j.jbiomech.2009.12.025. - DOI - PMC - PubMed
    1. Pfister A., West A.M., Bronner S., Noah J.A. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis. J. Med. Eng. Technol. 2014;38:274–280. doi: 10.3109/03091902.2014.909540. - DOI - PubMed
    1. Brink Y., Louw Q., Grimmer K., Schreve K., Van der Westhuizen G., Jordaan E. Development of a cost effective three-dimensional posture analysis tool: Validity and reliability. BMC Musculoskelet. Disord. 2013;14:335. doi: 10.1186/1471-2474-14-335. - DOI - PMC - PubMed

LinkOut - more resources