Markerless motion analysis : evaluation of OpenPose software for clinical gait analysis
Penev, Victor and Giardini, Mario E. and Ligeti, Alexandra and Riches, Phil (2024) Markerless motion analysis : evaluation of OpenPose software for clinical gait analysis. In: BioMedEng24, 2024-09-05 - 2024-09-06, Queen Mary University of London.
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Abstract
Motion analysis plays a crucial role in clinical, research, and rehabilitation settings. Markerless motion capture (MMC) could offer a cheaper, quicker and more accessible alternative to movement analysis than marker-based approaches. OpenPose is an open-source human pose estimation software which could potentially be used as part of a markerless approach.
ORCID iDs
Penev, Victor, Giardini, Mario E. ORCID: https://orcid.org/0000-0003-4849-9683, Ligeti, Alexandra and Riches, Phil ORCID: https://orcid.org/0000-0002-7708-4607;-
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Item type: Conference or Workshop Item(Poster) ID code: 90470 Dates: DateEvent6 September 2024PublishedSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Strategic Research Themes > Health and Wellbeing
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 04 Sep 2024 11:48 Last modified: 13 Sep 2024 00:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/90470
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