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使用基于标准的物联网平台和异构物联网产品构建适老化的物联网服务。

Building IoT Services for Aging in Place Using Standard-Based IoT Platforms and Heterogeneous IoT Products.

作者信息

Fattah Sheik Mohammad Mostakim, Sung Nak-Myoung, Ahn Il-Yeup, Ryu Minwoo, Yun Jaeseok

机构信息

IoT Platform Research Center, Korea Electronics Technology Institute, Seongnam 13509, Korea.

Service Laboratory, Institute of Convergence Technology, KT R&D Center, Seoul 06763, Korea.

出版信息

Sensors (Basel). 2017 Oct 11;17(10):2311. doi: 10.3390/s17102311.

DOI:10.3390/s17102311
PMID:29019964
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5677444/
Abstract

An aging population and human longevity is a global trend. Many developed countries are struggling with the yearly increasing healthcare cost that dominantly affects their economy. At the same time, people living with old adults suffering from a progressive brain disorder such as Alzheimer's disease are enduring even more stress and depression than those patients while caring for them. Accordingly, seniors' ability to live independently and comfortably in their current home for as long as possible has been crucial to reduce the societal cost for caregiving and thus give family members peace of mind, called 'aging in place' (AIP). In this paper we present a way of building AIP services using standard-based IoT platforms and heterogeneous IoT products. An AIP service platform is designed and created by combining previous standard-based IoT platforms in a collaborative way. A service composition tool is also created that allows people to create AIP services in an efficient way. To show practical usability of our proposed system, we choose a service scenario for medication compliance and implement a prototype service which could give old adults medication reminder appropriately at the right time (i.e., when it is time to need to take pills) through light and speaker at home but also wrist band and smartphone even outside the home.

摘要

人口老龄化和人类寿命延长是全球趋势。许多发达国家正在应对逐年增加的医疗保健成本，这对其经济产生了重大影响。与此同时，照顾患有阿尔茨海默病等进行性脑部疾病的老年人的人，比患者本人承受着更多的压力和抑郁。因此，老年人尽可能长时间地在自己家中独立舒适地生活的能力，对于降低社会护理成本并让家庭成员安心至关重要，这被称为“就地养老”（AIP）。在本文中，我们提出了一种使用基于标准的物联网平台和异构物联网产品构建AIP服务的方法。通过以协作方式组合先前基于标准的物联网平台，设计并创建了一个AIP服务平台。还创建了一个服务组合工具，使人们能够高效地创建AIP服务。为了展示我们所提出系统的实际可用性，我们选择了一个药物依从性的服务场景，并实现了一个原型服务，该服务可以通过家中的灯光和扬声器，甚至在户外通过腕带和智能手机，在正确的时间（即需要服药的时候）为老年人提供适当的服药提醒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/d2492d0fcd25/sensors-17-02311-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/053503479fa3/sensors-17-02311-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/3507f50573a0/sensors-17-02311-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/a8b9097741da/sensors-17-02311-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/67670e330d86/sensors-17-02311-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/9e07720b562f/sensors-17-02311-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/99e549f076d1/sensors-17-02311-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/1ee2301ee234/sensors-17-02311-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/61c8754f8554/sensors-17-02311-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/bc89341ffc13/sensors-17-02311-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/4ff362fbcd04/sensors-17-02311-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/06f9e680c118/sensors-17-02311-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/752eb7d680b4/sensors-17-02311-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/b6966c0a47a9/sensors-17-02311-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/d2492d0fcd25/sensors-17-02311-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/a23f8a13f72e/sensors-17-02311-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/3f7264db5824/sensors-17-02311-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/fcf7c17ae8fe/sensors-17-02311-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/44a153ee065c/sensors-17-02311-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/053503479fa3/sensors-17-02311-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/3507f50573a0/sensors-17-02311-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/a8b9097741da/sensors-17-02311-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/67670e330d86/sensors-17-02311-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/9e07720b562f/sensors-17-02311-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/99e549f076d1/sensors-17-02311-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/1ee2301ee234/sensors-17-02311-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/61c8754f8554/sensors-17-02311-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/bc89341ffc13/sensors-17-02311-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/4ff362fbcd04/sensors-17-02311-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/06f9e680c118/sensors-17-02311-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/752eb7d680b4/sensors-17-02311-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/b6966c0a47a9/sensors-17-02311-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/537b/5677444/d2492d0fcd25/sensors-17-02311-g018.jpg

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