AGREEMENT BETWEEN A SMARTPHONE-BASED MARKERLESS MOTION CAPTURE APPLICATION (AISCOUT ®) AND CONVENTIONAL ATHLETIC ASSESSMENT

Authors

Simon Augustus, Kingston University, LondonFollow
James Brouner, Kingston University, London
Chris Howe
Anna Kosciuk
Richard Felton-Thomas

Category

Other

Document Type

Paper

Abstract

There is a need to develop accessible 3D motion analysis. The aim of this study was to determine absolute and relative agreement between aiScout^®, a smartphone application that infers 3D pose from 2D video, and conventional methods of assessing athletic performance. Sixteen athletes (29.7 ± 9.0 yrs, 1.75 ± 0.10 m, 75.5 ± 15.8 kg) completed six performance tests that were evaluated by aiScout^® and conventional methods. 10m sprint times, press-ups, lateral rebound jumps, and 5-10-5 football dribble times showed good to excellent absolute (ICC and CCC > 0.8 threshold) and relative agreement (ICC and Kendall’s W > 0.8 threshold) between measurement methods. Unilateral countermovement jumps only showed moderate agreement (0.6 - 0.8 absolute and relative agreement). This suggests aiScout^® can be used to help assess athletic performance. However, questions remain regarding the capability of aiScout^® to assess performance of jumping activities.

Recommended Citation

Augustus, Simon; Brouner, James; Howe, Chris; Kosciuk, Anna; and Felton-Thomas, Richard (2024) "AGREEMENT BETWEEN A SMARTPHONE-BASED MARKERLESS MOTION CAPTURE APPLICATION (AISCOUT ®) AND CONVENTIONAL ATHLETIC ASSESSMENT," ISBS Proceedings Archive: Vol. 42: Iss. 1, Article 6.
Available at: https://commons.nmu.edu/isbs/vol42/iss1/6