Scott, K., Bonci, T. orcid.org/0000-0002-8255-4730, Alcock, L. et al. (6 more authors) (2021) A quality control check to ensure comparability of stereophotogrammetric data between session and systems. Sensors, 21 (24). 8223. ISSN 1424-8220
Abstract
Optoelectronic stereophotogrammetric (SP) systems are widely used in human movement research for clinical diagnostics, interventional applications, and as a reference system for validating alternative technologies. Regardless of the application, SP systems exhibit different random and systematic errors depending on camera specifications, system setup and laboratory environment, which hinders comparing SP data between sessions and across different systems. While many methods have been proposed to quantify and report the errors of SP systems, they are rarely utilized due to their complexity and need for additional equipment. In response, an easy-to-use quality control (QC) check has been designed that can be completed immediately prior to a data collection. This QC check requires minimal training for the operator and no additional equipment. In addition, a custom graphical user interface ensures automatic processing of the errors in an easy-to-read format for immediate interpretation. On initial deployment in a multicentric study, the check (i) proved to be feasible to perform in a short timeframe with minimal burden to the operator, and (ii) quantified the level of random and systematic errors between sessions and systems, ensuring comparability of data in a variety of protocol setups, including repeated measures, longitudinal studies and multicentric studies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | optoelectronic stereophotogrammetry; 3D motion capture; quality control; spot check; accuracy; systematic errors; gait; human movement |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 820820 NATIONAL INSTITUTE FOR HEALTH RESEARCH IS-BRC-1215-20017 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/K03877X/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S032940/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Dec 2021 14:42 |
Last Modified: | 14 Dec 2021 14:42 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/s21248223 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181566 |