Marker-less motion capture system using OpenPose
Abstract
Motion capture systems are widely used to measure 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. The 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.
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Recommended Citation
Feng, B., Powell, D., & Doblas, A. (2022). Marker-less motion capture system using OpenPose. Proceedings of SPIE - The International Society for Optical Engineering, 12101 https://doi.org/10.1117/12.2619059
