Computer Science and Communication Research Centre, School of Technology and Management, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal.
INESC TEC, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal.
Sensors (Basel). 2021 Sep 9;21(18):6051. doi: 10.3390/s21186051.
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.
葡萄牙人口老龄化速度不断加快，这带来了新的问题，尤其是在人口稀少且分布广泛的农村地区。这些人大多是老年人，收入低，往往孤立无援，被社会排斥。这项工作研究并提出了一种负担得起的基于智能环境辅助生活（AAL）的解决方案，以在不侵犯隐私的情况下，以普及和非侵入性的方式监测老年人在家中的活动。该解决方案使用了一组低成本的物联网传感器设备、计算机视觉算法和推理规则，来获取数据并识别主体在家中执行的活动。已经开发了一个概念架构和一个功能原型，该原型在类似于真实案例场景的环境中成功进行了测试。该系统和基础概念可用作远程和分布式老年人护理服务的构建块，老年人可以在家中自主生活，但在需要时可以得到护理人员的关注。
