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An ambient intelligence architecture for extracting knowledge from distributed sensors

Published: 24 November 2009 Publication History

Abstract

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.

References

[1]
Remagnino, P. and Foresti, G. L., Ambient intelligence: A new multidisciplinary paradigm, IEEE Trans. on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 35, no. 1, pp. 1--6, Jan 2005.
[2]
Ducatel, K., Bogdanowicz, M., Scapolo, F. and Burgelman, J.-C., Scenarios for Ambient Intelligence in 2010, Tech. Rep. Seville: Information Soc. Technol., Advisory Group (ISTAG), Inst. Prospective Technol. Studies (IPTS), Feb 2001.
[3]
Estrin, D., Girod, L., Pottie G. and Srivastava, M., Instrumenting the world with wireless sensor networks, in Proc. of Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001), Salt Lake City, Utah, May 2001.
[4]
Marchesotti, L., Piva, S. and Regazzoni, C., Structured context-analysis techniques in biologically inspired ambient-intelligence systems, IEEE Trans. on Systems, Man and Cybernetics, Part A, vol. 35, no. 1, pp. 106--120, Jan 2005.
[5]
Doctor, F., Hagras, H. and Callaghan, V., A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments, IEEE Transactions on Systems, Man and Cybernetics, Part A, vol. 35, no. 1, pp. 55--65, Jan 2005.
[6]
Anastasi, G., Farruggia, O., Lo Re, G. and Ortolani, M., Monitoring high-quality wine production using wireless sensor networks, in Proc. of. HICSS '09. The 42nd Hawaii International Conference on System Sciences, Jan 2009, pp. 1--7.
[7]
Lee, R. G., Lai, C. C., Chiang, S. S., Liu, H. S., Chen, C. C. and Hsieh, G. Y., Design and implementation of a mobile-care system over wireless sensor network for home healthcare applications, in Proc. of IEEE Conference on Engineering in Medicine and Biology Society (EMBS '06), New York City, USA, Aug 2006, pp. 6004--6007.
[8]
Jimenez-Fernandez, S., Araujo-Pinto, A., de Rojas, A. C.-S., del Pozo-Guerrero, F., Nieto-Taladriz, O., de Toledo-Heras, P. and Moya-Fernandez, J., PERSEIA: a biomedical wsn to support healthcare delivery for the elderly and chronically ill, in Proc. Of IEEE Conf. on Eng. in Medicine and Biology Society (EMBS '06), New York City, USA, Aug 2006, pp. 2064--2066.
[9]
Han, K., Lee, J., Na, S. and You, W., An ambient robot system based on sensor network: Concept and contents of ubiquitous robotic space, in Mobile Ubiquitous Computing, Systems, Services and Technologies, Nov. 2007, pp. 155--159.
[10]
Chella, A., Frixione, M. and Gaglio, S., A cognitive architecture for artificial vision, artificial intelligence, Artificial Intelligence, vol. 89, no. 12, pp. 73--111, 1997.
[11]
Chella, A., Frixione, M. and Gaglio, S., Understanding dynamic scenes, Artificial Intelligence, vol. 123, no. 1--2, pp. 89--132, 2000.
[12]
De Paola, A., Farruggia, A., Gaglio, S., Lo Re, G. and Ortolani, M., Exploiting the human factor in a WSN-based system for ambient intelligence, in Proc. of CISIS 2009, Fukuoka, Japan, March 2009.
[13]
Goel, S., Imielinski, T. and Passarella, A., Using buddies to live longer in a boring world, in Proc. IEEE PerCom Workshop, vol. 422, Pisa, Italy, 2006, pp. 342--346.
[14]
Tononi, G. and Edelman, G., Consciousness and complexity, Science, vol. 282, no. 5395, pp. 1846--1851, 1998.
[15]
Cowell, R., Probabilistic networks and expert systems. Springer, 199

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cover image ACM Other conferences
ICIS '09: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
November 2009
1479 pages
ISBN:9781605587103
DOI:10.1145/1655925
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 November 2009

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Author Tags

  1. ambient intelligence
  2. conceptual spaces
  3. wireless sensor networks

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  • (2018)A gesture recognition framework for exploring museum exhibitionsProceedings of the 2018 International Conference on Advanced Visual Interfaces10.1145/3206505.3206576(1-3)Online publication date: 29-May-2018
  • (2018)WiP: Smart Services for an Augmented Campus2018 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2018.00056(276-278)Online publication date: Jun-2018
  • (2018)Towards a Smart Campus Through Participatory Sensing2018 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2018.00035(393-398)Online publication date: Jun-2018
  • (2017)An ambient intelligence system for assisted living2017 AEIT International Annual Conference10.23919/AEIT.2017.8240559(1-6)Online publication date: Sep-2017
  • (2016)SESAMOProceedings of the 17th International Conference on Computer Systems and Technologies 201610.1145/2983468.2983520(137-144)Online publication date: 23-Jun-2016
  • (2014)Autonomic behaviors in an Ambient Intelligence system2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)10.1109/CIHLI.2014.7013381(1-8)Online publication date: Dec-2014
  • (2014)A Structural Approach to Infer Recurrent Relations in DataAdvances onto the Internet of Things10.1007/978-3-319-03992-3_8(105-119)Online publication date: 1-Jan-2014
  • (2014)An AMI System for User Daily Routine Recognition and PredictionAdvances onto the Internet of Things10.1007/978-3-319-03992-3_3(33-45)Online publication date: 1-Jan-2014
  • (2014)An Ontology-Based Autonomic System for Ambient Intelligence ScenariosAdvances onto the Internet of Things10.1007/978-3-319-03992-3_1(1-17)Online publication date: 1-Jan-2014

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