Date of Award
Master of Science
Electrical and Computer Engr
Motion capture systems are widely used for measuring athletic performance and as a diagnostic tool in sports medicine. Standard motion capture systems record body movement using: (1) a set of cameras to localize body segments; or (2) specialized suits in which inertial measurement units are directly attached to body segments. Major drawbacks of these systems are limited portability, affordability, and accessibility. This contribution presents a markerless motion capture system using a commercially available sports camera and the OpenPose human pose estimation algorithm. We have validated the proposed markerless system by analyzing the human biometrics during running and jumping movements. The findings of this study demonstrate that pairing a low-cost sports camera with artificial intelligence allows for high-quality analysis of human movement.
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Feng, Bin, "Marker-less Motion Capture System Using OpenPose" (2021). Electronic Theses and Dissertations. 2361.