![]() However, they were less capable than marker-based systems in studies requiring the tracking of detailed 3D kinematics or fine movements such as finger tracking. Single camera markerless systems were found to perform well in studies involving single plane measurements, such as in the analysis of infant general movements or spatiotemporal parameters of gait, when evaluated against 3D marker-based systems and a variety of clinical outcome measures. Use cases for single camera markerless motion capture technology were identified for Neurological Injury in Children and Adults Hereditary/Genetic Neuromuscular Disorders Frailty and Orthopaedic or Musculoskeletal groups. ResultsĪ total of 50 studies were included for data collection. Studies were grouped by patient population. ![]() Data recorded included the description of the markerless system, clinical outcome measures, and biomechanical data mapped to the International Classification of Functioning, Disability and Health Framework (ICF). Studies were collected up to 14 January 2022 using Pubmed, CINAHL and SPORTDiscus using a systematic search. ![]() This review aims to map the available literature to highlight potential use cases and identify the limitations of the technology for clinicians and researchers interested in the collection of movement data. However, it is not clear what the current healthcare applications of single camera markerless motion capture are and what information is being collected that may be used to inform clinical decision making. Single camera markerless motion capture has the potential to facilitate at home movement assessment due to the ease of setup, portability, and affordable cost of the technology. Healthcare applications of single camera markerless motion capture: a scoping review. Cite this article Scott B, Seyres M, Philp F, Chadwick EK, Blana D. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. Licence This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. Further realism my be achieved on compatible avatars by also enabling face capture or using a Vive Pro Eye for gaze and blink tracking.3 School of Health Sciences, University of Liverpool, Liverpool, United Kingdom DOI 10.7717/peerj.13517 Published Accepted Received Academic Editor John Williams Subject Areas Kinesiology, Healthcare Services, Biomechanics, Sports Medicine Keywords Markerless motion capture, Markerless, Single camera markerless motion capture, Scoping review, Single camera human motion analysis, Single camera movement analysis of humans, Clinical motion capture, Neurological injuries, Telerehabilitation, Musculoskeletal Copyright © 2022 Scott et al. Body trackers are optional and standing mocap is supported. Users may achieve more realistic tracking results when using body trackers. Full body tracking is only available when using feet and hip trackers (and optional elbows, knees, chest). It is possible to use the software without an HMD (eg. ![]() A Quest HMD may also produce reasonable results. The recommended SteamVR headsets are the Valve Index or the HTC Vive. The experience varies depend ing on the user's PC and the tracking hardware used. Meta Quest (finger tracking, face expressions ). I Phone Truedepth sensor (facecap and eye tracking). This fusion of multiple sensor inputs can combine many layers of motion capture in a single take including: full body tracking, face capture, lipsync, gaze tracking, optical finger tracking.Įducators, Presenters, Architectural visualizations (arch-viz). Apple i Phone Truedepth sensor and Meta Quest 2 optical finger tracking and Quest Pro face capture ) to connect avatars to simultaneous inputs. Advanced users may create more detailed motion capture including full body tracking and can be combined with other sensors (eg. With as little as a single VR HMD and two controllers users may create mocap using their own custom avatars. Mocap Fusion is an immersive roomscale VR motion capture sandbox for artists and animators who wish to create and export motion capture animations, or create live content, using conventional VR hardware. ![]()
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