The glenohumeral joint (GH) is commonly conceptualized as a ball-and-socket joint [1], and its center of rotation (COR) is presumed to coincide with the geometric center of the medial-superior region of the humeral head [2]. Recent research has endorsed improvements in COR estimation through invasive and noninvasive techniques, including cadaver studies, stereophotogrammetry, and motion capture (MOCAP) systems. Despite increased interest in wearable technology within human movement analysis, the problem of COR estimation employing MOCAP systems and its validation against bi-planar fluoroscopy remains relatively unexplored.
This study employed a marker-based MOCAP system to compare the accuracy, error, and precision of three distinct in vivo tracking methods against the COR position identified via bi-planar fluoroscopy. The analysis conducted on a cohort of five healthy participants indicated that the accuracy of the tested methods was influenced by the type of arm movement and the arm employed (dominant vs. non-dominant).
","abstract_html":"<p>The glenohumeral joint (GH) is commonly conceptualized as a ball-and-socket joint [1], and its center of rotation (COR) is presumed to coincide with the geometric center of the medial-superior region of the humeral head [2]. Recent research has endorsed improvements in COR estimation through invasive and noninvasive techniques, including cadaver studies, stereophotogrammetry, and motion capture (MOCAP) systems. Despite increased interest in wearable technology within human movement analysis, the problem of COR estimation employing MOCAP systems and its validation against bi-planar fluoroscopy remains relatively unexplored.</p> <p>This study employed a marker-based MOCAP system to compare the accuracy, error, and precision of three distinct in vivo tracking methods against the COR position identified via bi-planar fluoroscopy. The analysis conducted on a cohort of five healthy participants indicated that the accuracy of the tested methods was influenced by the type of arm movement and the arm employed (dominant vs. non-dominant).</p>","abstract_has_math":false,"creators":["Alsaadi, Ola"],"institution":null,"degree_name":"M.S.","degree_level":"Masters Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Michelle Sabick","Kevin Shelburne","Robert Dores"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-11-01T07:00:00Z","date_published":"2023-11-01T07:00:00Z","updated_at":"2026-07-24T02:01:39Z","subjects":["Glenohumeral joint (GH)","Center of rotation (COR)","Motion capture (MOCAP)","Biomechanical Engineering","Biomechanics","Biomedical Engineering and Bioengineering","Engineering","Kinesiology","Life Sciences","Mechanical Engineering","Other Biomedical Engineering and Bioengineering"],"languages":["English (eng)"],"rights":["Copyright is held by the author. User is responsible for all copyright compliance.
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This study employed a marker-based MOCAP system to compare the accuracy, error, and precision of three distinct in vivo tracking methods against the COR position identified via bi-planar fluoroscopy. The analysis conducted on a cohort of five healthy participants indicated that the accuracy of the tested methods was influenced by the type of arm movement and the arm employed (dominant vs. non-dominant).
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This study employed a marker-based MOCAP system to compare the accuracy, error, and precision of three distinct in vivo tracking methods against the COR position identified via bi-planar fluoroscopy. The analysis conducted on a cohort of five healthy participants indicated that the accuracy of the tested methods was influenced by the type of arm movement and the arm employed (dominant vs. non-dominant).
"],"dc:format":["application/pdf"],"dc:identifier":["https://digitalcommons.du.edu/etd/2342"],"dc:language":["English (eng)"],"dc:rights":["Copyright is held by the author. User is responsible for all copyright compliance.
"],"dc:subject":["Glenohumeral joint (GH)","Center of rotation (COR)","Motion capture (MOCAP)","Biomechanical Engineering","Biomechanics","Biomedical Engineering and Bioengineering","Engineering","Kinesiology","Life Sciences","Mechanical Engineering","Other Biomedical Engineering and Bioengineering"],"dc:title":["Exploration of Motion Capture System to Investigate Human Shoulder Kinematics"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["M.S."]},"updated_at":"2026-07-24T02:01:39Z"}