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Using Type-2 Fuzzy Models to Detect Fall Incidents and Abnormal Gaits Among Elderly

Huang, Yo-Ping; Liu, Wei-Heng; Chen, Szu-Ying; Sandnes, Frode Eika
Chapter, Peer reviewed
"(c) 2013 i e e e. personal use of this material is permitted. permission from i e e e 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."
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URI
https://hdl.handle.net/10642/1748
Date
2013
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  • TKD - Institutt for informasjonsteknologi [865]
Original version
Huang, 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 Society   http://dx.doi.org/10.1109/SMC.2013.587
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.
Publisher
IEEE Computer Society
Series
Proceedings of System, Man and Cybernetics Conference SMC;2013

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