Use cases for abnormal behaviour detection in smart homes

Authors:
An C. Tran;Stephen Marsland;Jens Dietrich;Hans W. Guesgen;Paul Lyons
Affiliations:
School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand;School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand;School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand;School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand;School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand
Venue:
ICOST'10 Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics
Year:
2010

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Abstract

While people have many ideas about how a smart home should react to particular behaviours from their inhabitant, there seems to have been relatively little attempt to organise this systematically. In this paper, we attempt to rectify this in consideration of context awareness and novelty detection for a smart home that monitors its inhabitant for illness and unexpected behaviour. We do this through the concept of the Use Case, which is used in software engineering to specify the behaviour of a system. We describe a set of scenarios and the possible outputs that the smart home could give and introduce the SHMUC Repository of Smart Home Use Cases. Based on this, we can consider how probabilistic and logic-based reasoning systems would produce different capabilities.