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Event recognition from ambient assistive living technologies.

机译:来自环境辅助生活技术的事件识别。

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摘要

As the population ages and technology advances, a need exists for creating ambient intelligent systems to be placed within the home environment. Attitudes towards technology have been changing, and home monitoring is now considered a less expensive and desirable alternative. Ideally, such systems should be small, wireless, and take the minimum of effort and cost to install and place within the home. In order to detect human activity in an assistive environment, key questions about the construction and operation of the technology and methods needed to detect that activity. To that end, a computational framework has been created inside an apartment testbed combining a variety of algorithms, tools, and methods that support an assistive living apartment using Wireless Sensor Networks and other devices and sensors.
机译:随着人口的老龄化和技术的进步,需要创建要放置在家庭环境中的环境智能系统。人们对技术的态度已经发生了变化,现在人们认为家庭监视是一种较便宜且理想的选择。理想情况下,此类系统应小巧,无线,并以最小的工作量和成本来安装和放置在家庭中。为了检测辅助环境中的人类活动,有关检测该活动所需的技术和方法的构造和操作的关键问题。为此,已经在公寓测试平台内创建了一个计算框架,该框架结合了各种算法,工具和方法,这些算法,工具和方法使用无线传感器网络以及其他设备和传感器来支持辅助居住公寓。

著录项

  • 作者

    Becker, Eric William.;

  • 作者单位

    The University of Texas at Arlington.;

  • 授予单位 The University of Texas at Arlington.;
  • 学科 Engineering Computer.Computer Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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