Machine Vision-Enabled Sports Performance Analysis
Timilehin B. Aderinola Hananeh Younesian Cathy Goulding Darragh Whelan Brian Caulfield Georgiana Ifrim
$\textbf{Goal:}$ This study investigates the feasibility of monocular 2D
markerless motion capture (MMC) using a single smartphone to measure jump
height, velocity, flight time, contact time, and range of motion (ROM) during
motor tasks. $\textbf{Methods:}$ Sixteen healthy adults performed three
repetitions of selected tests while their body movements were recorded using
force plates, optical motion capture (OMC), and a smartphone camera. MMC was
then performed on the smartphone videos using OpenPose v1.7.0.
$\textbf{Results:}$ MMC demonstrated excellent agreement with ground truth for
jump height and velocity measurements. However, MMC's performance varied from
poor to moderate for flight time, contact time, ROM, and angular velocity
measurements. $\textbf{Conclusions:}$ These findings suggest that monocular 2D
MMC may be a viable alternative to OMC or force plates for assessing sports
performance during jumps and velocity-based tests. Additionally, MMC could
provide valuable visual feedback for flight time, contact time, ROM, and
angular velocity measurements.