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dc.contributor.authorHuang, Yo-Pingen_US
dc.contributor.authorLiu, Wei-Hengen_US
dc.contributor.authorChen, Szu-Yingen_US
dc.contributor.authorSandnes, Frode Eikaen_US
dc.date.accessioned2014-01-10T10:22:48Z
dc.date.available2014-01-10T10:22:48Z
dc.date.issued2013en_US
dc.identifier.citationHuang, Y-P, Liu, W-H, Chen, S-Y & Sandnes, F.E. (2013). Using Type-2 Fuzzy Models to Detect Fall Incidents and Abnormal Gaits Among Elderly. In: V. Marik, A. M. Tjoa & H. Liu, Proceedings of System, Man and Cybernetics Conference SMC 2013. IEEE Computer Societyen_US
dc.identifier.isbn978-1-4799-0652-9en_US
dc.identifier.otherFRIDAID 1058899en_US
dc.identifier.urihttps://hdl.handle.net/10642/1748
dc.description.abstract— June 2012, 11% of the overall population in Taiwan was over the age of 65. This ratio is higher than the average figure for the United Nations (8%) . Critical issues concerning elderly in healthcare include fall detection, loneliness prevention and retard of obliviousness. In this study we design type-2 fuzzy models that utilize smart phone tri-axial accelerometer signals to detect fall incidents and identify abnormal gaits among elderly. Once a fall incident is detected an alarm is sent to notify the medical staff for taking any necessary treatment. When the proposed system is used as a pedometer, all the tri-axial accelerometer signals are used to identify the gaits during walking. Based on the proposed type-2 fuzzy models, the walking gaits can be identified as normal, left-tilted, and right-tilted. Experimental results from type-2 fuzzy models reveal that the accuracy rates in identifying normal walking and fall over are 92.3% and 100%, respectively, exceeding what are obtained using type-1 fuzzy models.en_US
dc.language.isoengen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofseriesProceedings of System, Man and Cybernetics Conference SMC;2013en_US
dc.subjectType 2 fuzzy modelsen_US
dc.subjectGaiten_US
dc.subjectFall detectionen_US
dc.subjectHealth careen_US
dc.subjectAccelerometeren_US
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551en_US
dc.titleUsing Type-2 Fuzzy Models to Detect Fall Incidents and Abnormal Gaits Among Elderlyen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.version"(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistributi on to servers or lists, or reuse of any copyrighted components of this work in other works."en_US
dc.identifier.doihttp://dx.doi.org/10.1109/SMC.2013.587


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