Leveraging IMU Data for Accurate Exercise Performance Classification and Musculoskeletal Injury Risk Screening

DC FieldValueLanguage
dc.contributor.authorWhelan, Darragh
dc.contributor.authorO'Reilly, Martin
dc.contributor.authorHuang, Bingquan
dc.contributor.authorGiggins, Oonagh M.
dc.contributor.authorKechadi, Tahar
dc.contributor.authorCaulfield, Brian
dc.date.accessioned2016-08-23T14:09:24Z
dc.date.available2016-08-23T14:09:24Z
dc.date.copyright2016 IEEEen
dc.date.issued2016-08-20
dc.identifier.urihttp://hdl.handle.net/10197/7831
dc.description38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Florida, United States of America, 17-20 August 2016en
dc.description.abstractInertial measurement units (IMUs) are becoming increasingly prevalent as a method for low cost and portable biomechanical analysis. However, to date they have not tended to be accepted into routine clinical practice. This is often due to the disconnect between translating the data collected by the sensors into meaningful and actionable information for end users. This paper outlines the work completed by our group in attempting to achieve this. We discuss the conceptual framework involved in our work, the methodological approach taken in analysing sensor signals and discuss possible application models. The work completed by our group indicates that IMU based systems have the potential to bridge the gap between laboratory and clinical movement analysis. Future work will focus on collecting a diverse range of movement data and using more sophisticated data analysis techniques to refine systems.en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectPersonal sensingen
dc.titleLeveraging IMU Data for Accurate Exercise Performance Classification and Musculoskeletal Injury Risk Screeningen
dc.typeConference Publicationen
dc.internal.webversionshttp://embc.embs.org/2016/-
dc.statusPeer revieweden
dc.identifier.doi10.1109/EMBC.2016.7590788-
dc.neeo.contributorWhelan|Darragh|aut|-
dc.neeo.contributorO'Reilly|Martin|aut|-
dc.neeo.contributorHuang|Bingquan|aut|-
dc.neeo.contributorGiggins|Oonagh M.|aut|-
dc.neeo.contributorKechadi|Tahar|aut|-
dc.neeo.contributorCaulfield|Brian|aut|-
dc.date.updated2016-08-17T09:09:15Z
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
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