Ericsson Nikola Tesla d.d., Krapinska 45, 10002 Zagreb, Croatia.
Sensors (Basel). 2019 Feb 21;19(4):907. doi: 10.3390/s19040907.
Many researchers and product developers are striving toward achieving ICT-enabled independence of older adults by setting up Enhanced Living Environments (ELEs). Technological solutions, which are often based on the Internet of Things (IoT), show great potential in providing support for Active Aging. To enhance the quality of life for older adults and overcome challenges in enabling individuals to achieve their full potential in terms of physical, social, and mental well-being, numerous proof-of-concept systems have been built. These systems, often labeled as Ambient Assisted Living (AAL), vary greatly in targeting different user needs. This paper presents our contribution using SmartHabits, which is an intelligent privacy-aware home care assistance system. The novel system comprising smart home-based and cloud-based parts uses machine-learning technology to provide peace of mind to informal caregivers caring for persons living alone. It does so by learning the user's typical daily activity patterns and automatically issuing warnings if an unusual situation is detected. The system was designed and implemented from scratch, building upon existing practices from IoT reference architecture and microservices. The system was deployed in several homes of real users for six months, and we will be sharing our findings in this paper.
许多研究人员和产品开发人员正在努力通过建立增强型生活环境 (ELE) 来实现老年人的信息通信技术 (ICT) 自主。基于物联网 (IoT) 的技术解决方案在为积极老龄化提供支持方面具有巨大的潜力。为了提高老年人的生活质量并克服使个人在身体、社会和心理健康方面充分发挥潜力的挑战，已经构建了许多概念验证系统。这些系统通常被标记为“ 智能生活辅助 (AAL)”，它们在针对不同用户需求方面存在很大差异。本文介绍了我们使用 SmartHabits 的贡献，这是一个智能的隐私感知家庭护理辅助系统。该新型系统由智能家居和云基部分组成，使用机器学习技术为照顾独居者的非正式护理人员提供安心。它通过学习用户的典型日常活动模式并在检测到异常情况时自动发出警告来实现这一目标。该系统是从头开始设计和实现的，借鉴了物联网参考架构和微服务的现有实践。该系统已在几个真实用户的家中部署了六个月，我们将在本文中分享我们的发现。
