Ambient intelligence framework for context aware adaptive applications

G. Acampora, V. Loia, M. Nappi, S. Ricciardi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)

Abstract

Despite recent turbulence of the digital economy, the information society continues its progress. Information and communication technologies (ICT) are increasingly entering in all aspects of our life and in all sectors, opening a world of unprecedented scenarios where people interact with electronic devices embedded in environments that are sensitive and responsive to the presence of users. These context-aware environments combine ubiquitous information, communication, with enhanced personalization, natural interaction and intelligence. A critical issue, common in most of applications framed inside domotic systems or ambient intelligence, is the approach to automatically detect context from wearable or environmental sensor systems and to transform such information for achieving personalized and adaptive services. Most of the flexible and robust systems use probabilistic detection algorithms that require extensive libraries of training; in this work we experiment with a prototype framework based on intelligent agents skilled to capture user habits, identify requests, and apply the artefact-mediated activity through hybrid approaches, featuring adaptive fuzzy control strategy and biometric techniques.
Original languageEnglish
Title of host publicationProceedings of the Seventh International Workshop on Computer Architecture for Machine Perception, CAMP 2005, 4-6 July 2005
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages327-332
ISBN (Print)0-7695-2255-6
DOIs
Publication statusPublished - 2005

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    Acampora, G., Loia, V., Nappi, M., & Ricciardi, S. (2005). Ambient intelligence framework for context aware adaptive applications. In Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception, CAMP 2005, 4-6 July 2005 (pp. 327-332). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CAMP.2005.9