Towards a Theory of Space for Activity Recognition in Smart Environments Based on Rough Sets

H. Guesgen
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引用次数: 2

Abstract

This paper investigates how spatial information can be used to improve the process of recognising activities in smart homes. The spatial information is obtained through spatial markers, like motion sensors for instance. Since different markers may be involved in different occurrences of the same type of behaviour, there is a need for being able to express vagueness, which in our approach is achieved by using rough sets rather than standard sets to denote the space in which an activity occurs.
基于粗糙集的智能环境活动识别空间理论研究
本文研究了如何使用空间信息来改进智能家居中识别活动的过程。空间信息是通过空间标记获得的,比如运动传感器。由于同一类型行为的不同事件可能涉及不同的标记,因此需要能够表达模糊性,这在我们的方法中是通过使用粗糙集而不是标准集来表示活动发生的空间来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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