An ambient intelligence architecture for extracting knowledge from distributed sensors
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Human-ambient interaction through wireless sensor networks
HSI'09 Proceedings of the 2nd conference on Human System Interactions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Ambient intelligence: A survey
ACM Computing Surveys (CSUR)
Inferring cause/effect relationships in multi-sensor ambient intelligence systems
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
A formal approach to model the interaction between user and ami environment
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Hi-index | 0.00 |
In this paper, techniques and related issues for the definition of a contextual knowledge in ambient-intelligence systems are explored. A logical structure for this kind of system, inspired by a neurobiological brain model, is proposed. Through these considerations, the role and the importance of context awareness in the definition of an artificial organism showing adaptability, pervasiveness, and scalability features are described. Techniques for the definition of a multilayer context representation are explained and practically demonstrated with a test-bed. In the proposed system, a complex event classification is obtained through the fusion of heterogeneous data coming from a set of sensors thanks to the design of a self-organizing map (SOM). The SOM represents the core of the system and testing proofs show good results in the classification of the events taking place in the monitored environment.