A cognitive architecture for artificial vision
Artificial Intelligence
Artificial Intelligence
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Using buddies to live longer in a boring world
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
An Ambient Robot System Based on Sensor Network: Concept and Contents of Ubiquitous Robotic Space
UBICOMM '07 Proceedings of the International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Monitoring High-Quality Wine Production using Wireless Sensor Networks
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Ambient Intelligence: A New Multidisciplinary Paradigm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Structured context-analysis techniques in biologically inspired ambient-intelligence systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Precisely monitoring the environmental conditions is an essential requirement for AmI projects, but the wealth of data generated by the sensing equipment may easily overwhelm the modules devoted to higher-level reasoning, clogging them with irrelevant details. The present work proposes a new approach to knowledge extraction from raw data that addresses this issue at different levels of abstraction. Wireless sensor networks are used as the pervasive sensory tool, and their computational capabilities are exploited to remotely perform preliminary data processing. A central intelligent unit subsequently extracts higher-level concepts represented in a geometrical space and carries on symbolic reasoning based on them. The same tiered architecture is replicated in order to provide further levels of abstraction.