{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T17:07:05Z","timestamp":1792084025154,"version":"4.4.0"},"reference-count":24,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["THC"],"published-print":{"date-parts":[[2024,9,3]]},"abstract":"<jats:p>BACKGROUND: This study presents a comprehensive comparison between a marker-based motion capture system (MMC) and a video-based motion capture system (VMC) in the context of kinematic analysis using musculoskeletal models. OBJECTIVE: Focusing on joint angles, the study aimed to evaluate the accuracy of VMC as a viable alternative for biomechanical research. METHODS: Eighteen healthy subjects performed isolated movements with 17 joint degrees of freedom, and their kinematic data were collected using both an MMC and a VMC setup. The kinematic data were entered into the AnyBody Modelling System, which enables the calculation of joint angles. The mean absolute error (MAE) was calculated to quantify the deviations between the two systems. RESULTS: The results showed good agreement between VMC and MMC at several joint angles. In particular, the shoulder, hip and knee joints showed small deviations in kinematics with MAE values of 4.8\u2218, 6.8\u2218 and 3.5\u2218, respectively. However, the study revealed problems in tracking hand and elbow movements, resulting in higher MAE values of 13.7\u2218 and 27.7\u2218. Deviations were also higher for head and thoracic movements. CONCLUSION: Overall, VMC showed promising results for lower body and shoulder kinematics. However, the tracking of the wrist and pelvis still needs to be refined. The research results provide a basis for further investigations that promote the fusion of VMC and musculoskeletal models.<\/jats:p>","DOI":"10.3233\/thc-240202","type":"journal-article","created":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T12:01:13Z","timestamp":1718971273000},"page":"3433-3442","source":"Crossref","is-referenced-by-count":15,"title":["Using markerless motion capture and musculoskeletal models: An evaluation of joint kinematics"],"prefix":"10.1177","volume":"32","author":[{"given":"Simon","family":"Auer","sequence":"first","affiliation":[{"name":"Laboratory for Biomechanics, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Franz","family":"S\u00fc\u00df","sequence":"additional","affiliation":[{"name":"Laboratory for Biomechanics, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany"},{"name":"Regensburg Center of Biomedical Engineering, Ostbayerische Technische 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