Poland Michael P, Nugent Chris D, Wang Hui, Chen Liming
Computer Science Research Institute, Faculty of Computing and Engineering, University of Ulster, Newtownabbey, Northern Ireland, UK.
Technol Health Care. 2009;17(3):171-82. doi: 10.3233/THC-2009-0550.
Smart Homes offer potential solutions for various forms of independent living for the elderly. The assistive and protective environment afforded by smart homes offer a safe, relatively inexpensive, dependable and viable alternative to vulnerable inhabitants. Nevertheless, the success of a smart home rests upon the quality of information its decision support system receives and this in turn places great importance on the issue of correct sensor deployment. In this article we present a software tool that has been developed to address the elusive issue of sensor distribution within smart homes. Details of the tool will be presented and it will be shown how it can be used to emulate any real world environment whereby virtual sensor distributions can be rapidly implemented and assessed without the requirement for physical deployment for evaluation. As such, this approach offers the potential of tailoring sensor distributions to the specific needs of a patient in a non-evasive manner. The heuristics based tool presented here has been developed as the first part of a three stage project.
智能家居为老年人的各种独立生活方式提供了潜在的解决方案。智能家居提供的辅助和保护环境为易受伤害的居住者提供了一个安全、相对便宜、可靠且可行的选择。然而，智能家居的成功取决于其决策支持系统所接收信息的质量，而这又反过来极大地重视正确传感器部署的问题。在本文中，我们展示了一个已开发的软件工具，用于解决智能家居中难以捉摸的传感器分布问题。将介绍该工具的详细信息，并展示如何使用它来模拟任何现实世界环境，从而无需进行实际部署评估就能快速实施和评估虚拟传感器分布。因此，这种方法提供了以非侵入性方式根据患者的特定需求定制传感器分布的潜力。这里介绍的基于启发式的工具是一个三阶段项目第一部分的成果。
