{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4"],"submitter":["Lahkar BK"],"pubmed_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"],"journal":["Frontiers in sports and active living"],"pagination":["939980"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9357930"],"repository":["biostudies-literature"],"pubmed_title":["Accuracy of a markerless motion capture system in estimating upper extremity kinematics during boxing."],"pmcid":["PMC9357930"],"pubmed_authors":["Robert T","Muller A","Reveret L","Lahkar BK","Dumas R"],"additional_accession":[]},"is_claimable":false,"name":"Accuracy of a markerless motion capture system in estimating upper extremity kinematics during boxing.","description":"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","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-05T08:56:14.756Z","creation":"2025-04-05T08:56:14.756Z"},"accession":"S-EPMC9357930","cross_references":{"pubmed":["35958668"],"doi":["10.3389/fspor.2022.939980"]}}