A distributed hierarchical structure for object networks supporting human activity recognition

Osmani, Venet and Balasubramaniam, Sasitharan and Tao, Gu (2006) A distributed hierarchical structure for object networks supporting human activity recognition. In: Autonomic Management of Mobile Multimedia Services - 9th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2006, Proceedings :. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Verlag, IRL, pp. 128-133. ISBN 3540476547

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Abstract

Pervasive environments will witness heterogeneous smart embedded devices (e.g. sensors, actuators) integrated into user's living environment (e.g. smart homes and hospitals) and provide a multitude of information that can transparently support user's lifestyle. One promising application resulting from the management and exploitation of this information is the human activity recognition. In this paper we briefly describe our activity recognition architecture and focus on an important management component of this architecture using the concept of object networks. We explore how object networks can integrate various sensor networks and heterogeneous devices into a coherent network through embedded context and role profile and at the same time support distributed context reasoning. The paper also describes the mechanisms used to eliminate and refine context information that is deemed irrelevant due to user behaviour changes over time, by employing the idea of role fitness.

Item Type:	Book Section
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/2600/2614
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Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:14
Last Modified:	07 Jun 2023 18:37
URI:	http://repository-testing.wit.ie/id/eprint/4768

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