Evaluating Squat Performance with a Single Inertial Measurement Unit

DC FieldValueLanguage
dc.contributor.authorO'Reilly, Martin
dc.contributor.authorWhelan, Darragh
dc.contributor.authorChanialidis, Charalampos
dc.contributor.authorFriel, Nial
dc.contributor.authorDelahunt, Eamonn
dc.contributor.authorWard, Tomás
dc.contributor.authorCaulfield, Brian
dc.date.accessioned2017-07-26T09:50:03Z
dc.date.available2017-07-26T09:50:03Z
dc.date.issued2015-06-12
dc.identifier.isbn9781467372015
dc.identifier.urihttp://hdl.handle.net/10197/8673
dc.description2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, MIT, Cambridge, Massachusetts, United States of America, 9-12 June 2015en
dc.description.abstractInertial measurement units (IMUs) may be used during exercise performance to assess form and technique. To maximise practicality and minimise cost a single-sensor system is most desirable. This study sought to investigate whether a single lumbar-worn IMU is capable of identifying seven commonly observed squatting deviations. Twenty-two volunteers (18 males, 4 females, age: 26.09±3.98 years, height: 1.75±0.14m, body mass: 75.2±14.2 kg) performed the squat exercise correctly and with 7 induced deviations. IMU signal features were extracted for each condition. Statistical analysis and leave one subject out classifier evaluation were used to assess the ability of a single sensor to evaluate performance. Binary level classification was able to distinguish between correct and incorrect squatting performance with a sensitivity of 64.41%, specificity of 88.01% and accuracy of 80.45%. Multi-label classification was able to distinguish between specific squat deviations with a sensitivity of 59.65%, specificity of 94.84% and accuracy of 56.55%. These results indicate that a single IMU can successfully discriminate between squatting deviations. A larger data set must be collected and more complex classification techniques developed in order to create a more robust exercise analysis IMU-based system.en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2015 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.subjectBiomedical measurementen
dc.subjectBody sensor networksen
dc.subjectFeature extractionen
dc.subjectSensitivity analysisen
dc.titleEvaluating Squat Performance with a Single Inertial Measurement Uniten
dc.typeConference Publicationen
dc.statusPeer revieweden
dc.identifier.doi10.1109/BSN.2015.7299380-
dc.neeo.contributorO'Reilly|Martin|aut|-
dc.neeo.contributorWhelan|Darragh|aut|-
dc.neeo.contributorChanialidis|Charalampos|aut|-
dc.neeo.contributorFriel|Nial|aut|-
dc.neeo.contributorDelahunt|Eamonn|aut|-
dc.neeo.contributorWard|Tomás|aut|-
dc.neeo.contributorCaulfield|Brian|aut|-
dc.date.updated2017-03-20T09:15:56Z
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
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