La fusion multi-capteurs dans l'habitat communicant: une approche non-probabiliste

ABSTRACT

To follow up our works on a service-oriented architecture dedicated to context perception for the smart home [7], we present in this paper how to move complex reasoning on top of the ontology. We focus on a multi-sensors data fusion architecture using the Transferable Belief Model. High level symbolic data are deduced using fusion from redundant, complementary and heterogeneous sensors data. Symbolic data describe complex contexts and enable to provide more contextualised services. To show the contribution of using the Transferable Belief Model in context awareness systems we detail an experiment about human posture characterisation using heterogeneous and uncertain sensors data.

REFERENCES

• 1: D. Agathangelou, B. P. L. Lo, J. L. Wang, G.-Z. Yang -- «Self-Configuring Video-Sensor Networks» - Adjunct Proceedings of the 3rd International Conference on Pervasive Computing (PERVASIVE 2005), pp. 29--32, May 2005.
• 2: Jalal F. Al-Muhtadi , M. Dennis Mickunas, An intelligent authentication infrastructure for ubiquitous computing environments, University of Illinois at Urbana-Champaign, Champaign, IL, 2005
• 3: James W. Davis , Aaron F. Bobick, The Representation and Recognition of Human Movement Using Temporal Templates, Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), p.928, June 17-19, 1997
• 4: P. Korpipaa et al. - «Malm., Managing Context Information in Mobile Devices» - IEEE Pervasive Computing, Volume 2 Number 3, July-September 2003, pp. 42--51, ISSN 1536--1268.
• 5: D. J. Plas, M. Verheijen, H. Zwaal, M. Hutschemaekers - «Manipulating context information with SWRL» - Déliverable D3.12 du projet A-MUSE, 2006.
• 6: Gaëtan Rey , Joëlle Coutaz, Contextor: capture and dynamic distribution of contextual information, Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing, June 01-03, 2004, Nice, France [doi>10.1145/1050873.1050902]
• 7: V. Ricquebourg, D. Menga, L. Delahoche, B. Marhic, D. Durand, C. Logé - «Architecture de perception de contexte orientée service pour l'habitat communicant» - UBIMOB 2006, ACM, Septembre 2006.
• 8: V. Ricquebourg, M. Delafosse, L. Delahoche, B. Marhic, A. M. Jolly-Desodt, D. Menga - «Fault Detection by Combining Redundant Sensors: a Conflict Approach Within the TBM Framework» - COGIS 2007, Stanford University, California, USA from 26--28 November, 2007
• 9: M. Rombaut - «Sur l'utilisation de la théorie de l'évidence pour la perception et la fusion de données» - exposé de la journée GDR ISIS, ENST, Paris, 2001.
• 10: G. A. Shafer - «A mathematical theory of evidence», Princeton university press, 1976.
• 11: Ph. Smets - «The Transferable Belief Model for uncertainty representation» - Rapport technique, 1995.
• 12: Ph. Smets - «Theories of Uncertainty» - Handbook for Fuzzy Computation, 1999.
• 13: J. L. Wang, B. L. Lo, G.-Z. Yang - «Ubiquitous Sensing For Posture/Behavior Analysis», the 2nd International Workshop on Body Sensor Networks (BSN 2005), April 2005.
• 14: University of Rochester - «Smart Medical Home» - http://www.futurehealth.rochester.edu/smart_home, 2004.
• 15: The Gator-Tech Smart House de l'Université de Floride: http://www.rerc.ufl.edu/
• 16: D. Dubois, H. Prade - «Fuzzy Sets & Systems: Theory and Applications»» - Academic Press (APNet), Vol. V.144, 393 p., 1980.
• 17: A. Appriou - «Probabilités et incertitudes en fusion de données multi-senseurs» - Revue Scientifique et Technique de la Défence, pages 27--40, 1991.
• 18: A. Appriou - «Uncertain data aggregation in classification and tracking processes» - In B. Bouchon-Meunier, editor, Aggregation and Fusion of imperfect information, pages 231--260. Physica-Verlag, Heidelberg, 1998.
• 19: T. Denoeux - «A k-nearest neighbor classification rule based on Dempster-Shafer theory» - IEEE Transactions on Systems, Man and Cybernetics: vol. 25, pp. 804--813, 1995.
• 20: Galina Rogova, Combining the results of several neural network classifiers, Neural Networks, v.7 n.5, p.777-781, 1994 [doi>10.1016/0893-6080(94)90099-X]

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
        D.2.11 Software Architectures

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.3 Deduction and Theorem Proving

General Terms:
Experimentation, Measurement, Theory

Keywords:
context, data fusion, dealing with uncertainty, sensors, smart home