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Article
Validity and Reliability of a Computer Vision System to Determine Bar Displacement and Velocity
International Journal of Strength and Conditioning
  • Christopher Taber, Sacred Heart University
  • Emma Patterson
  • Jui Shah, Sacred Heart University
  • Padraig Francis
  • Justin C. Wager, Sacred Heart University
Document Type
Peer-Reviewed Article
Publication Date
1-1-2023
Disciplines
Abstract

This study examined the validity and reliability of a video-based smartphone application (VBA) to measure displacement and velocity in the barbell bench press, back squat, and deadlift. Nine resistance-trained subjects (three females; six males; age: 24.2±4.2 years; height 175.8±8.1 cm; body mass 87.2±18.2kg) completed two test-retest sessions for the barbell bench press, back squat, and deadlift one week apart. Eight repetitions were completed for the bench press, back squat, and deadlift with a load of 40kg and completed at fast and slow velocities. Bar displacement and average velocity were measured simultaneously using 3-D motion capture (MC) and a VBA. The VBA’s validity and reliability were analyzed by Pearson’s product-moment correlation coefficient (r), intraclass correlation coefficient (ICC), and Bland-Altman Plots. Displacement data showed moderate to nearly perfect correlations (r =0.43-0.94) and moderate to excellent reliability (ICC= 0.67-0.98) and Bland-Altman plots revealing little bias (< 2cm). Average velocity data showed large to nearly perfect correlations (r =0.67-0.95) and good to excellent reliability (ICC= 0.79-0.94) with Bland-Altman revealing little bias (< 0.06 m/s). Taken together the VBA examined in this study was both valid and reliable compared with a gold standard criterion measurement of MC. These results provide evidence that the VBA may be used in the tracking of displacement and average velocity in the bench press, back squat, and deadlift at both fast and slower movement velocities.

Comments

Open access under a Creative Commons Attribution 4.0 International License.

DOI
10.47206/ijsc.v3i1.263
Creative Commons License
Creative Commons Attribution 4.0 International
Citation Information

Taber, C., Patterson, E., Shah, J., Francis, P., & Wager, J. (2023). Validity and reliability of a computer vision system to determine bar displacement and velocity. International Journal of Strength and Conditioning, 3(1). Doi:10.47206/ijsc.v3i1.263