A Bayesian network and rule-base approach towards activity inference

Osmani, Venet and Balasubramaniam, Sasitharan and Botvich, Dmitri (2007) A Bayesian network and rule-base approach towards activity inference. In: 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall :. IEEE Vehicular Technology Conference . UNSPECIFIED, USA, pp. 254-258. ISBN 1424402646

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Abstract

In this paper we describe an activity recognition system capable of monitoring user activities in home environments. Activities are monitored by processing information from various sensors embedded in the environment that provide information pertinent to user's actions. We utilise the concept of self-organising Object Networks to gather and hierarchically process information related to user actions in a distributed manner. This information is then fed to the Decision Module which matches this information in the user's Activity Map in order to deduce user's activity. The Decision Module comprises a Bayesian Network coupled with a rule-based engine which is used to provide accurate activity inference process.

Item Type:	Book Section
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1706
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Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:14
Last Modified:	06 Jul 2023 04:50
URI:	http://repository-testing.wit.ie/id/eprint/4782

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