Semantic Scholar Open Access 2020 278 sitasi

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

Thanos G. Stavropoulos A. Papastergiou Lampros Mpaltadoros S. Nikolopoulos Y. Kompatsiaris

Abstrak

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.

Penulis (5)

T

Thanos G. Stavropoulos

A

A. Papastergiou

L

Lampros Mpaltadoros

S

S. Nikolopoulos

Y

Y. Kompatsiaris

Format Sitasi

Stavropoulos, T.G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., Kompatsiaris, Y. (2020). IoT Wearable Sensors and Devices in Elderly Care: A Literature Review. https://doi.org/10.3390/s20102826

Akses Cepat

Lihat di Sumber doi.org/10.3390/s20102826
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
278×
Sumber Database
Semantic Scholar
DOI
10.3390/s20102826
Akses
Open Access ✓