Accuracy of a markerless motion capture system in estimating upper extremity kinematics during boxing.

ABSTRACT: Kinematic analysis of the upper extremity can be useful to assess the performance and skill levels of athletes during combat sports such as boxing. Although marker-based approach is widely used to obtain kinematic data, it is not suitable for "in the field" activities, i.e., when performed outside the laboratory environment. Markerless video-based systems along with deep learning-based pose estimation algorithms show great potential for estimating skeletal kinematics. However, applicability of these systems in assessing upper-limb kinematics remains unexplored in highly dynamic activities. This study aimed to assess kinematics of the upper limb estimated with a markerless motion capture system (2D video cameras along with commercially available pose estimation software Theia3D) compared to

SUBMITTER: Lahkar BK 

PROVIDER: S-EPMC9357930 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature