Signal Processing - March 2016 - 81
SIGNAL PROCESSING FOR ASSISTED LIVING
Christian Debes, Andreas Merentitis, Sergey Sukhanov,
Maria Niessen, Nicolaos Frangiadakis, and Alexander Bauer
Monitoring Activities of Daily Living in Smart Homes
Understanding human behavior
M
onitoring the activities of daily living (ADLs) and detection of deviations from previous
patterns is crucial to assessing the ability of an elderly person to live independently in
their community and in early detection of upcoming critical situations. "Aging in place"
for an elderly person is one key element in ambient assisted living (AAL) technologies.
IMAGE LICENSED BY INGRAM PUBLISHING,
WOMAN-© ISTOCKPHOTO.COM/SILVIAJANSEN
Topic motivation and significance
Digital Object Identifier 10.1109/MSP.2015.2503881
Date of publication: 7 March 2016
1053-5888/16©2016IEEE
The continued increase in longevity will yield a steep rise in the
old-age dependency ratio, defined as the ratio of the number of elderly people to those of working age. Worldwide, this ratio is expected to double from 11.7% to
25.4% in the next 35 years, with countries like
Japan, Germany, Italy, Spain, and Poland
exceeding a 50% ratio [1]. In alignment to this
development, the number of people aged 80
and over is going to triple in the next 35
years, going from 22 million to 61 million
in the European Union [2] with similar
developments in the United States [3].
This trend leads to several sociological
and economical challenges. On the one
hand, several studies show that, at 90%,
the vast majority of elderly people have the
desire to live as long as possible, independently, in their own home [4]. On the other hand,
there is the desire of families and health insurers to have cost-effective alternatives to assisted
living and nursing homes. The costs of maintaining retirement living standards due to longevity are
expected to roughly double in the next 35 years, while,
at the same time, a shortage of caregivers is expected [5], [6].
AAL aims to deal with some of the challenges that develop with longevity. It serves as a framework of solutions ranging
from medication reminder tools to fall detection systems and communication tools. The technology used in these solutions is based on ambient intelligence, a
paradigm within information technology that aims to aid people in their everyday lives
by learning and adaptively responding to their behavior by integrating technology in
their environment. As such, it can also assist elderly people to age in place while still
having sufficient security standards in case of emergency [7]-[9].
IEEE SIgnal ProcESSIng MagazInE
|
March 2016
|
81
http://www.ISTOCKPHOTO.COM/SILVIAJANSEN
Table of Contents for the Digital Edition of Signal Processing - March 2016
Signal Processing - March 2016 - Cover1
Signal Processing - March 2016 - Cover2
Signal Processing - March 2016 - 1
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Signal Processing - March 2016 - Cover3
Signal Processing - March 2016 - Cover4
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