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      The accuracy of markerless motion capture combined with computer vision techniques for measuring running kinematics

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          Abstract

          Markerless motion capture based on low-cost 2-D video analysis in combination with computer vision techniques has the potential to provide accurate analysis of running technique in both a research and clinical setting. However, the accuracy of markerless motion capture for assessing running kinematics compared to a gold-standard approach remains largely unexplored.

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          Author and article information

          Contributors
          (View ORCID Profile)
          Journal
          Scandinavian Journal of Medicine & Science in Sports
          Scandinavian Med Sci Sports
          Wiley
          0905-7188
          1600-0838
          June 2023
          February 09 2023
          June 2023
          : 33
          : 6
          : 966-978
          Affiliations
          [1 ] NUTRIM School of Nutrition and Translational Research in Metabolism Maastricht University Medical Centre+, Department of Nutrition and Movement Sciences Maastricht The Netherlands
          Article
          10.1111/sms.14319
          36680411
          fc2c607c-c26c-463f-9b0c-4508caeb888c
          © 2023

          http://creativecommons.org/licenses/by/4.0/

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