Evaluating Performance of the Lunge Exercise with Multiple and Individual Inertial Measurement Units

DC FieldValueLanguage
dc.contributor.authorWhelan, Darragh
dc.contributor.authorO'Reilly, Martin
dc.contributor.authorWard, Tomás
dc.contributor.authorDelahunt, Eamonn
dc.contributor.authorCaulfield, Brian
dc.date.accessioned2016-09-06T11:41:49Z
dc.date.available2016-09-06T11:41:49Z
dc.date.copyright2016 ACMen
dc.date.issued2016-05-19
dc.identifier.isbn978-1-63190-051-8
dc.identifier.urihttp://hdl.handle.net/10197/7876
dc.descriptionPervasive Health 2016: 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, Cancun, Mexico, 16-19 May 2016en
dc.description.abstractThe lunge is an important component of lower limb rehabilitation, strengthening and injury risk screening. Completing the movement incorrectly alters muscle activation and increases stress on knee, hip and ankle joints. This study sought to investigate whether IMUs are capable of discriminating between correct and incorrect performance of the lunge. Eighty volunteers (57 males, 23 females, age: 24.68± 4.91 years, height: 1.75± 0.094m, body mass: 76.01±13.29kg) were fitted with five IMUs positioned on the lumbar spine, thighs and shanks. They then performed the lunge exercise with correct form and 11 specific deviations from acceptable form. Features were extracted from the labelled sensor data and used to train and evaluate random-forests classifiers. The system achieved 83% accuracy, 62% sensitivity and 90% specificity in binary classification with a single sensor placed on the right thigh and 90% accuracy, 80% sensitivity and 92% specificity using five IMUs. This multi-sensor set up can detect specific deviations with 70% accuracy. These results indicate that a single IMU has the potential to differentiate between correct and incorrect lunge form and using multiple IMUs adds the possibility of identifying specific deviations a user is making when completing the lunge.en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.publisherACMen
dc.rights© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Pervasive Health 2016 (2016) https://dl.acm.org/citation.cfm?id=3021335en
dc.subjectPersonal sensingen
dc.subjectExerciseen
dc.subjectClassificationen
dc.subjectInertial Measurement Unitsen
dc.subjectLungeen
dc.subjectFunctional screening toolsen
dc.subjectBiofeedbacken
dc.subjectRehabilitationen
dc.titleEvaluating Performance of the Lunge Exercise with Multiple and Individual Inertial Measurement Unitsen
dc.typeConference Publicationen
dc.internal.webversionshttp://pervasivehealth.org/2016/show/home-
dc.statusPeer revieweden
dc.neeo.contributorWhelan|Darragh|aut|-
dc.neeo.contributorO'Reilly|Martin|aut|-
dc.neeo.contributorWard|Tomás|aut|-
dc.neeo.contributorDelahunt|Eamonn|aut|-
dc.neeo.contributorCaulfield|Brian|aut|-
dc.date.updated2016-08-17T15:02:53Z
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Public Health, Physiotherapy and Sports Science Research Collection
Insight Research Collection
Institute for Sport & Health Research Collection
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