Multi-modal emotive computing in a smart house environment
Pervasive and Mobile Computing
Privacy and the access of information in a smart house environment
Proceedings of the 15th international conference on Multimedia
A review of smart homes-Present state and future challenges
Computer Methods and Programs in Biomedicine
Dynamic privacy assessment in a smart house environment using multimodal sensing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
AwarePen - Classification Probability and Fuzziness in a Context Aware Application
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Pervasive intelligence system to enable safety and assistance in kitchen for home-alone elderly
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
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This paper describes an approach to representing normal activities in a smart house based on the concept of anxiety. Anxiety is computed as a function of time and is kept low by interactions of an occupant with the various devices in a house. Abnormality is indicated by a lack of activity or the wrong activity which will cause anxiety to rise ultimately raising an alarm, querying the occupant and/or alerting a carer in real-time. Anxiety is formulated using probabilistic models that describe how people interact with devices in combinations. These models can be learnt interactively as the smart house acts pessimistically enquiring of the occupant if what they are doing is normal. Results are presented for a number of kitchen scenarios and for different formulations of anxiety.