Evidential fusion of sensor data for activity recognition in smart homes
Evidential fusion of sensor data for activity recognition in smart homes
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DOI：
10.1016/j.pmcj.2008.05.002
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发表时间：
2009-06-01
影响因子：
4.3
通讯作者：
Delvin, Steven
中科院分区：
文献类型：
--
作者：
Hong, Xin;Nugent, Chris;Delvin, Steven
技术的进步提供了为家庭环境配备一层技术的能力，以提供一个真正的“智能家居”。这些家庭为需要身体和认知功能支持的人口提供了更好的生活条件和独立水平。智能家居的核心是一系列传感技术，用于监测居民的行为以及他们与环境的互动。各种不同的传感器测量光、声、接触和运动，提供关于居民的足够多维信息，支持活动确定的推断。影响任何信息分析成功的一个问题是，由于故障、操作容忍水平或损坏的数据，传感器可能不总是提供可靠的信息。本文研究了从不确定传感器数据中提取上下文信息的融合过程。基于一系列信息处理技术，尤其是Dempster-Shafer证据理论和等权重求和算子，证据上下文信息被表示、分析和合并，以实现智能家居中居民日常生活活动的自动推断的共识。在本文中，我们介绍了可以管理不确定性的框架，并演示了传感器的数量以及每个传感器的可靠性水平对整个决策过程的影响。(C)2008爱思唯尔B.V.保留所有权利。
Advances in technology have provided the ability to equip the home environment with a layer of technology to provide a truly 'Smart Home'. These homes offer improved living conditions and levels of independence for the population who require support with both physical and cognitive functions. At the core of the Smart Home is a collection of sensing technology which is used to monitor the behaviour of the inhabitant and their interactions with the environment. A variety of different sensors measuring light, sound, contact and motion provide sufficient multi-dimensional information about the inhabitant to support the inference of activity determination. A problem which impinges upon the success of any information analysis is the fact that sensors may not always provide reliable information due to either faults, operational tolerance levels or corrupted data. In this paper we address the fusion process of contextual information derived from uncertain sensor data. Based on a series of information handling techniques, most not ably the Dempster-Shafer theory of evidence and the Equally Weighted Sum operator, evidential contextual information is represented, analysed and merged to achieve a consensus in automatically inferring activities of daily living for inhabitants in Smart Homes. Within the paper we introduce the framework within which uncertainty can be managed and demonstrate the effects that the number of sensors in conjunction with the reliability level of each sensor can have on the overall decision making process. (C) 2008 Elsevier B.V. All rights reserved.