2026-10-12T17:49:24Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33976480 2026-09-23T17:41:20Z category_15 category_734 category_931 category_106 category_132 portal_5 item_type_3 month_year_09_2026

<p>Summary of testing setups details.</p> Hristo Dimitrov (25099366) Viktorija Pavalkyte (25099369) Giulia Dominijanni (25099372) Tamar R. Makin (6577229) Neuroscience Biological Sciences not elsewhere classified Information Systems not elsewhere classified Science Policy Infectious Diseases visualisation without requiring past 10 years including challenging conditions combining established open across 76 participants 3d pose estimation deliver sufficient tracking markerless motion tracking div >< p markerless tracking consistent tracking video synchronisation video acquisition user guide specific tasks source tools resolution cameras recording synchronisation programming skills mm </ integrated solutions face regions experimental setup cost webcams common pitfalls camera calibration biomechanical research average inter automatic 2d alongside documentation advanced rapidly <div><p>Markerless motion tracking has advanced rapidly in the past 10 years and currently offers powerful opportunities for behavioural, clinical, and biomechanical research. While several specialised toolkits provide high performance for specific tasks, using existing tools still requires substantial technical expertise. There remains a gap in accessible, integrated solutions that deliver sufficient tracking for non-experts across diverse settings. TrackStudio was developed to address this gap by combining established open-source tools into a single, modular, GUI-based pipeline that works out of the box. It provides video recording preprocessing, recording synchronisation, automatic 2D and 3D pose estimation, and visualisation without requiring any programming skills. We supply a user guide with practical advice for video acquisition, camera calibration, video synchronisation, and experimental setup, alongside documentation of common pitfalls and how to avoid them. To validate the toolkit, we tested its performance across three environments using either low-cost webcams or high-resolution cameras, including challenging conditions for body position, lighting, space, and obstructions. Across 76 participants, average inter-frame correlations exceeded 0.98 and average triangulation errors remained low (<13.6 <i>mm</i> for hand tracking), demonstrating stable and consistent tracking. We further show that the same pipeline can be extended beyond hand tracking to other body and face regions. TrackStudio provides a practical, accessible route into markerless tracking for researchers or laypeople who need reliable performance without specialist expertise.</p></div> 2026-09-23T17:41:07Z Dataset Dataset 10.1371/journal.pone.0358647.t001 https://figshare.com/articles/dataset/_p_Summary_of_testing_setups_details_p_/33976480 CC BY 4.0