Artificial intelligence on the body, in the home, and beyond
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
Coping with multiple residents in a smart environment
Journal of Ambient Intelligence and Smart Environments
Learning patterns in ambient intelligence environments: a survey
Artificial Intelligence Review
A top-level ontology for smart environments
Pervasive and Mobile Computing
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
Coping with multiple residents in a smart environment
Journal of Ambient Intelligence and Smart Environments
A survey on ontologies for human behavior recognition
ACM Computing Surveys (CSUR)
Smart object reminders with RFID and mobile technologies
Mobile Information Systems
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Time is an important aspect of all real world phenomena. In this paper, we present a temporal relations-based framework for discovering interesting patterns in smart environment datasets, and test this framework in the context of the CASAS smart environments project. Our use of temporal relations in the context of smart environment tasks is described and our methodology for mining such relations from raw sensor data is introduced. We demonstrate how the results are enhanced by identifying the number of individuals in an environment, and apply the resulting technologies to look for interesting patterns which play a vital role to predict activities and identify anomalies in a physical smart environment.