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Fall Detection of the Elderly in the Activities of Daily Living

Authors:
Taekyeong Lee
Youngho Lee
Jaemin Kim
Soonmoon Jung
Dongwook Yang
Beomgeun Jo
Jeongwoo Lee
Junghwa Hong

Keywords: fall detection, double threshold algorithm, ADL, fall injury, Savitzky-Golay filter

Abstract:
Falling of the elderly has become an important issue in today's aging society. As a result, active protecting devices are being developed to protect the fallers’ body from severe injuries. The key task of the protecting devices is the exact detection of a falling event in Activities of Daily Living (ADL). In this study, a methodology for detecting the fall event is proposed using the accelerometer and the gyro-sensor of an active protecting device. The results of fall detection using the methodology proposed in this study were detected before impact and are accurate more than 99.9% for ADL.

Pages: 1 to 2

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-3700

ISBN: 978-1-61208-549-4

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017