Towards Automatic Gait Analysis from an IT Perspective: A Kinesiology Case

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datacite.alternateIdentifier.citationINFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 3,Vol.470,404-412,2022
datacite.alternateIdentifier.doi10.1007/978-3-031-04829-6_36
datacite.creatorCordova, Matias
datacite.creatorDiaz, Jaime
datacite.creatorArango Lopez, Jeferson
datacite.creatorAhumada, Danay
datacite.creatorMoreira, Fernando
datacite.creatorRocha, A
datacite.creatorAdeli, H
datacite.creatorDzemyda, G
datacite.creatorMoreira, F
datacite.date2022
datacite.subject.englishAutomatic gait analysis
datacite.subject.englishMotion capture
datacite.subject.englishDirect vision
datacite.subject.englishHealth information technology
datacite.subject.englishClinical decision-making
datacite.titleTowards Automatic Gait Analysis from an IT Perspective: A Kinesiology Case
dc.date.accessioned2023-06-08T15:48:09Z
dc.date.available2023-06-08T15:48:09Z
dc.description.abstractCurrently, kinesiologists who study the posture of people during walking rely on spreadsheets and visual posture assessment. Some technologies make it possible to include sensors in people's bodies to identify their movements. Today, artificial intelligence is supporting many medical processes. In this sense, our proposal focuses on developing software based on Computer Vision and Artificial Intelligence. The software is deployed in a robust architecture based on microservices to support the process of image analysis with high concurrency. This software assists specialists in the analysis and measurements of lower extremity angles and distances during gait. On this occasion, we are working with a local medical center, specialists in caring for high-performance athletes. One of its crucial kinesiology care activities is the performance of kinematic gait analysis.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5250
dc.language.isoen
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.sourceINFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 3
oaire.resourceTypeMeeting
uct.indizacionISTP
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