IoT of active and healthy ageing: cases from indoor location analytics in the wild

Recently much research has been conducted on early detection of cognitive and physical status deterioration in elderly adults. Primarily the focus is on gait analysis methodologies exploiting average speed, however this presents an issue when used for context aware applications. Additionally data ca...

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Veröffentlicht in:Health and technology 2017-03, Vol.7 (1), p.41-49
Hauptverfasser: Konstantinidis, Evdokimos I., Billis, Antonis S., Dupre, Rob, Fernández Montenegro, Juan Manuel, Conti, Giuseppe, Argyriou, Vasileios, Bamidis, Panagiotis D.
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container_end_page 49
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container_start_page 41
container_title Health and technology
container_volume 7
creator Konstantinidis, Evdokimos I.
Billis, Antonis S.
Dupre, Rob
Fernández Montenegro, Juan Manuel
Conti, Giuseppe
Argyriou, Vasileios
Bamidis, Panagiotis D.
description Recently much research has been conducted on early detection of cognitive and physical status deterioration in elderly adults. Primarily the focus is on gait analysis methodologies exploiting average speed, however this presents an issue when used for context aware applications. Additionally data capture tends to be in short bursts over a long period, allowing for localized temporal factors, such as short term injury, to potentially skew measurements. As such this work collects gait and trajectory IoT data from elderly adults in senior homes (“in the wild”) over a sustained period of time (1 year). Density based clustering algorithms are then applied to the data to provide long-term insights into how the high density regions change over time. The data is collected, analyzed and made available by the indoor analytics client utilizing available processing resources and delivers the analytics outcome even when it is hosted in hardware with constrained resources. Promising results are obtained from the long-term study, suggesting that this form of evaluation has strong potential in the analysis of cognitive and physical status deterioration.
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subjects Adults
Algorithms
Architecture
Biological and Medical Physics
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Clustering
Communication
Computational Biology/Bioinformatics
Data analysis
Data capture
Density
Engineering
Gait
Geriatrics
Internet of Things
Localization
Mathematical analysis
Medicine/Public Health
Older people
Original Paper
R & D/Technology Policy
Sensors
Software
Systems Medicine
title IoT of active and healthy ageing: cases from indoor location analytics in the wild
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