Practical applications of ambient intelligence cannot leave aside requirements about ubiquity, scalability, and transparency to the user. An enabling technology to comply with this goal is represented by wireless sensor networks (WSNs); however, although capable of limited in-network processing, they lack the computational power to act as a comprehensive intelligent system. By taking inspiration from the sensory processing model of complex biological organisms, we propose here a cognitive architecture able to perceive, decide upon, and control the environment of which the system is part. WSNs act as a transparent interface that allows the system to understand human requirements through implicit feedback, and consequently adapt its behavior. A central unit will carry on symbolic reasoning based on the concepts extracted from sensory inputs collected and pre-processed by pervasively deployed WSNs.

De Paola, A., Farruggia, A., Gaglio, S., Lo Re, G., Ortolani, M. (2009). Exploiting the Human Factor in a WSN-Based System for Ambient Intelligence. In Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009 (pp.748-753). Piscataway : IEEE [10.1109/CISIS.2009.48].

Exploiting the Human Factor in a WSN-Based System for Ambient Intelligence

DE PAOLA, Alessandra;FARRUGGIA, Alfonso;GAGLIO, Salvatore;LO RE, Giuseppe;ORTOLANI, Marco
2009-01-01

Abstract

Practical applications of ambient intelligence cannot leave aside requirements about ubiquity, scalability, and transparency to the user. An enabling technology to comply with this goal is represented by wireless sensor networks (WSNs); however, although capable of limited in-network processing, they lack the computational power to act as a comprehensive intelligent system. By taking inspiration from the sensory processing model of complex biological organisms, we propose here a cognitive architecture able to perceive, decide upon, and control the environment of which the system is part. WSNs act as a transparent interface that allows the system to understand human requirements through implicit feedback, and consequently adapt its behavior. A central unit will carry on symbolic reasoning based on the concepts extracted from sensory inputs collected and pre-processed by pervasively deployed WSNs.
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
mag-2009
International Conference on Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09.
Fukuoka
16-19 March, 2009
2009
6
De Paola, A., Farruggia, A., Gaglio, S., Lo Re, G., Ortolani, M. (2009). Exploiting the Human Factor in a WSN-Based System for Ambient Intelligence. In Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009 (pp.748-753). Piscataway : IEEE [10.1109/CISIS.2009.48].
Proceedings (atti dei congressi)
De Paola, A; Farruggia, A; Gaglio, S; Lo Re, G; Ortolani, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/38584
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