Title
Indoorcare: Low-Cost Elderly Activity Monitoring System Through Image Processing
Abstract
The Portuguese population is aging at an increasing rate, which introduces new problems, particularly in rural areas, where the population is small and widely spread throughout the territory. These people, mostly elderly, have low income and are often isolated and socially excluded. This work researches and proposes an affordable Ambient Assisted Living (AAL)-based solution to monitor the activities of elderly individuals, inside their homes, in a pervasive and non-intrusive way, while preserving their privacy. The solution uses a set of low-cost IoT sensor devices, computer vision algorithms and reasoning rules, to acquire data and recognize the activities performed by a subject inside a home. A conceptual architecture and a functional prototype were developed, the prototype being successfully tested in an environment similar to a real case scenario. The system and the underlying concept can be used as a building block for remote and distributed elderly care services, in which the elderly live autonomously in their homes, but have the attention of a caregiver when needed.
Year
DOI
Venue
2021
10.3390/s21186051
SENSORS
Keywords
DocType
Volume
computer vision, image analysis, internet of things, monitoring of elderly, low cost
Journal
21
Issue
ISSN
Citations 
18
1424-8220
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Daniel Fuentes100.68
Luis M. Correia228455.53
Nuno Costa3499.30
Arsénio Reis4187.66
José Carlos Ribeiro5216.73
Carlos Rabadão600.68
João Barroso718339.57
António B Pereira851.77