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Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure

Liao, Jing, Bi, Yaxin and Nugent, Chris D. (2010) Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure. In: Knowledge Science, Engineering and Management Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 186-197. ISBN 978-3-642-15279-5 [Book section]

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Abstract

This paper explores a revised evidential lattice structure designed for the purposes of activity recognition within Smart Homes. The proposed structure consists of three layers, an object layer, a context layer and an activity layer. These layers can be used to combine the mass functions derived from sensors along with sensor context and can subsequently be used to infer activities. We present the details of configuring the activity recognition process and perform an analysis on the relationship between the number of sensors and the number of layers. We also present the details of an empirical study on two public data sets. The results from this work has demonstrated that the proposed method is capable of correctly detecting activities with a high degree of accuracy (84.27%) with a dataset from MIT [4] and 82.49% with a dataset from the University of Amsterdam[10].

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:25490
Deposited By: Dr Yaxin Bi
Deposited On:20 Jan 2016 14:45
Last Modified:20 Jan 2016 14:45

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