NDLI: Estimation of falling risk based on acceleration signals during initial gait

Content Provider	IEEE Xplore Digital Library
Author	Fuke, S. Suzuki, T. Doi, M.
Copyright Year	2012
Description	Author affiliation: Corporate Research & Development Center, Toshiba Corporation, Kawasaki-shi, Kanagawa, Japan (Fuke, S.; Suzuki, T.; Doi, M.)
Abstract	In an aging society, falling risk of the elderly is one of big problems. In order to improve Quality Of Life (QOL) and curb increases in the care burden and medical costs, it is desirable to estimate and ameliorate falling risk through timely rehabilitation exercise. We propose a method of estimating the falling risk based on acceleration signals during initial gait. The risk is defined by a screening tool (Berg balance scale) utilized by physical therapists. In this method, the feature values are calculated by focusing on the variation of wave trajectory and horizontal symmetry due to unstable behavior during the initial transitional phase after starting time of the gait. Finally, in an experiment to confirm the efficacy of the proposed method, we gathered acceleration data at the waist of 17 subjects while they started walking after standing still. Then, the SVM (Support Vector Machine) classifiers to estimate the label of falling risk (3 classes: safe, caution-needed, and high-risk class) were trained and it was ascertained that F-values over 70% were achieved as the estimate accuracy.
Starting Page	286
Ending Page	291
File Size	1284397
Page Count	6
File Format	PDF
ISBN	9781457719905
e-ISBN	9781457719912
DOI	10.1109/ICoBE.2012.6179022
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-27
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Falling risk Correlation Accuracy Initial gait Senior citizens Estimation Aging Acceleration Wearble sensor Gait analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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