Using Contextual Information for Recognising Human Behaviour

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 paper, the authors describe a novel method of representing this data and discuss a wide variety of possible implementation strategies.