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Choosing an RSS device-free localization algorithm for Ambient Assisted Living

机译:为环境辅助生活选择无RSS设备的本地化算法

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Device-free localization algorithms attract, among others, the attention of researchers working in the Ambient Assisted Living (AAL) scenarios, where the target user might not be able or willing to wear any devices. We concentrate on systems that exploit the Received Signal Strength indicator coming from wireless devices whose position is known, called anchors. In this paper we select and test the main device-free localization solutions and experimentally compare their performance using a smaller number of anchors than commonly found in the literature. We illustrate the procedure used to validate our comparing procedure and we give suggestions on usability in the application scenarios typical of AAL. To the best of our knowledge, this is the first direct comparison between different device-free algorithms using the same input data for all of them, and the first one that compares their performance with a varying number of anchors. Thanks to the characteristics of our comparison procedure, we can make suggestions about the more appropriate algorithms to use for different kinds of applications.
机译:无需设备的本地化算法尤其吸引了在环境辅助生活(AAL)场景中工作的研究人员的注意力,在这种情况下,目标用户可能无法或不愿佩戴任何设备。我们专注于利用接收到的信号强度指示器的系统,这些指示器来自位置已知的无线设备,称为锚。在本文中,我们选择并测试了主要的无设备定位解决方案,并使用比文献中常见的更少的锚点,通过实验比较了它们的性能。我们说明了用于验证比较过程的过程,并针对AAL典型应用场景中的可用性提出了建议。据我们所知,这是首次对所有使用相同输入数据的不依赖设备的算法进行直接比较,并且是第一个将其性能与不同锚点进行比较的算法。由于我们比较过程的特性,我们可以对用于不同类型应用程序的更合适的算法提出建议。

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