Recognising Human Behaviour in a Spatio-Temporal Context

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Author(s): Hans W. Guesgen (Massey University, New Zealand)and Stephen Marsland (Massey University, New Zealand)
Copyright: 2011
Pages: 17
Source title: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
Source Author(s)/Editor(s): Nak-Young Chong (Japan Advanced Institute of Science and Technology, Japan)and Fulvio Mastrogiovanni (University of Genova, Italy)
DOI: 10.4018/978-1-61692-857-5.ch022

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

Identifying human behaviours in smart homes from sensor observations is an important research problem. The addition of contextual information about environmental circumstances and prior activities, as well as spatial and temporal data, can assist in both recognising particular behaviours and detecting abnormalities in these behaviours. In this chapter, we describe a novel method of representing this data and discuss a wide variety of possible implementation strategies.

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Recognising Human Behaviour in a Spatio-Temporal Context

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