IoT Wearable Sensors and Devices in Elderly Care: A Literature Review

The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer’s disease, frailty, Parkinson’s, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for...

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Main Authors: Thanos G. Stavropoulos, Asterios Papastergiou, Lampros Mpaltadoros, Spiros Nikolopoulos, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/10/2826
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author Thanos G. Stavropoulos
Asterios Papastergiou
Lampros Mpaltadoros
Spiros Nikolopoulos
Ioannis Kompatsiaris
author_facet Thanos G. Stavropoulos
Asterios Papastergiou
Lampros Mpaltadoros
Spiros Nikolopoulos
Ioannis Kompatsiaris
author_sort Thanos G. Stavropoulos
collection DOAJ
description The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer’s disease, frailty, Parkinson’s, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state-of-the-art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.
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spelling doaj.art-255eed7635424a4e8ade452b3f82cbc92023-11-20T00:39:45ZengMDPI AGSensors1424-82202020-05-012010282610.3390/s20102826IoT Wearable Sensors and Devices in Elderly Care: A Literature ReviewThanos G. Stavropoulos0Asterios Papastergiou1Lampros Mpaltadoros2Spiros Nikolopoulos3Ioannis Kompatsiaris4Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, GreeceCentre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, GreeceCentre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, GreeceCentre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, GreeceCentre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, GreeceThe increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer’s disease, frailty, Parkinson’s, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state-of-the-art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.https://www.mdpi.com/1424-8220/20/10/2826IoTwearablessensorsdeviceseldersold age
spellingShingle Thanos G. Stavropoulos
Asterios Papastergiou
Lampros Mpaltadoros
Spiros Nikolopoulos
Ioannis Kompatsiaris
IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
Sensors
IoT
wearables
sensors
devices
elders
old age
title IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
title_full IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
title_fullStr IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
title_full_unstemmed IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
title_short IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
title_sort iot wearable sensors and devices in elderly care a literature review
topic IoT
wearables
sensors
devices
elders
old age
url https://www.mdpi.com/1424-8220/20/10/2826
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AT spirosnikolopoulos iotwearablesensorsanddevicesinelderlycarealiteraturereview
AT ioanniskompatsiaris iotwearablesensorsanddevicesinelderlycarealiteraturereview