Designing and Modeling Smart Environments (Invited Paper)
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
An ontology-driven ambiguous contexts mediation framework for smart healthcare applications
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Mixed-initiative conflict resolution for context-aware applications
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Modeling Smart Homes for Prediction Algorithms
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
A flexible sequence alignment approach on pattern mining and matching for human activity recognition
Expert Systems with Applications: An International Journal
Unsupervised context detection using wireless signals
Pervasive and Mobile Computing
Supporting pervasive computing applications with active context fusion and semantic context delivery
Pervasive and Mobile Computing
Multi-agent smart environments
Journal of Ambient Intelligence and Smart Environments
Towards a conflict resolution approach for collective ubiquitous context-aware systems
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Role of context-awareness for demand response mechanisms
ICT-GLOW'11 Proceedings of the First international conference on Information and communication on technology for the fight against global warming
UbiREAL: realistic smartspace simulator for systematic testing
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Multi-agent smart environments
Journal of Ambient Intelligence and Smart Environments
A middleware for pervasive situation-awareness
DAIS'12 Proceedings of the 12th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
A survey on ontologies for human behavior recognition
ACM Computing Surveys (CSUR)
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A smart home aims at building intelligence automation with a goal to provide its inhabitants with maximum possible comfort, minimize the resource consumption and thus overall cost of maintaining the home. 'Context Awareness' is perhaps the most salient feature of such an intelligent environment. Clearly, an inhabitant's mobility and activities play a significant role in defining his contexts in and around the home. Although there exists an optimal algorithm for location and activity tracking of a single inhabitant, the correlation and dependence between multiple inhabitants' contexts within the same environment make the location and activity tracking more challenging. In this paper, we first prove that the optimal location prediction across multiple inhabitants in smart homes is an NP-hard problem. Next, to capture the correlation and interactions of different inhabitants' movements (and hence activities), we develop a novel framework based on a game theoretic, Nash H-learning approach that attempts to minimize the joint location uncertainty. The framework achieves a Nash equilibrium such that no inhabitant is given preference over others. This results in more accurate prediction of contexts and better adaptive control of automated devices, leading to a mobility-aware resource (say, energy) management scheme in multi-inhabitant smart homes. Experimental results demonstrate that the proposed framework is capable of adaptively controlling a smart environment, thus reducing energy consumption and enhancing the comfort of the inhabitants.