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Making Context Aware Decision from Uncertain Information in a Smart Home: A Markov Logic Network Approach

  • Pedro Chahuara
  • François Portet
  • Michel Vacher
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8309)

Abstract

This research addresses the issue of building home automation systems reactive to voice for improved comfort and autonomy at home. The focus of this paper is on the context-aware decision process which uses a dedicated Markov Logic Network approach to benefit from the formal logical representation of domain knowledge as well as the ability to handle uncertain facts inferred from real sensor data. The approach has been experiemented in a real smart home with naive and users with special needs.

Keywords

Sensing and Reasoning Technology Knowledge-Based Systems Decision making Reasoning under uncertainty 

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References

  1. 1.
    Artikis, A., Skarlatidis, A., Portet, F., Paliouras, G.: Logic-Based Event Recognition. Knowledge Engineering Review 27(4), 469–506 (2012)CrossRefGoogle Scholar
  2. 2.
    Badii, A., Boudy, J.: CompanionAble - integrated cognitive assistive & domotic companion robotic systems for ability & security. In: SFTAG 2009, Troyes, France, pp. 18–20 (2009)Google Scholar
  3. 3.
    Chahuara, P., Portet, F., Vacher, M.: Fusion of Audio and Temporal Multimodal Data by Spreading Activation for Dweller Localisation in a Smart Home. In: STAMI Series, Space, Time and Ambient Intelligence (2011)Google Scholar
  4. 4.
    Chen, L., Nugent, C.: Ontology-based activity recognition in intelligent pervasive environments. International Journal of Web Information Systems 5(4), 410–430 (2009)CrossRefGoogle Scholar
  5. 5.
    De Carolis, B., Cozzolongo, G.: C@sa: Intelligent home control and simulation. In: International Conference on Computational Intelligence, pp. 462–465 (2004)Google Scholar
  6. 6.
    Filho, G., Moir, T.J.: From science fiction to science fact: a smart-house interface using speech technology and a photorealistic avatar. International Journal of Computer Applications in Technology 39(8), 32–39 (2010)CrossRefGoogle Scholar
  7. 7.
    Gu, T., Pung, H.K., Zhang, D.Q.: A service-oriented middleware for building context-aware services. Journal of Network and Computer Applications 28(1), 1–18 (2005)CrossRefGoogle Scholar
  8. 8.
    Hamill, M., Young, V., Boger, J., Mihailidis, A.: Development of an automated speech recognition interface for personal emergency response systems. Journal of NeuroEngineering and Rehabilitation 6 (2009)Google Scholar
  9. 9.
    Hitzler, P., Parsia, B.: Ontologies and rules. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, 2nd edn., pp. 111–132. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  10. 10.
    Howard, R., Matheson, J.: Influence diagrams. Readings on The Principles and Applications of Decision Analysis 1 and 2, 720 (1981)Google Scholar
  11. 11.
    Istrate, D., Vacher, M., Serignat, J.-F.: Embedded implementation of distress situation identification through sound analysis. The Journal on Information Technology in Healthcare 6, 204–211 (2008)Google Scholar
  12. 12.
    Jeffrey, R.C.: The Logic of Decision. University of Chicago Press (July 1990)Google Scholar
  13. 13.
    Klein, M., Schmidt, A., Lauer, R.: Ontology-centred design of an ambient middleware for assisted living: The case of soprano. In: 30th Annual German Conference on Artificial Intelligence, KI 2007 (2007)Google Scholar
  14. 14.
    Lecouteux, B., Vacher, M., Portet, F.: Distant Speech Recognition in a Smart Home: Comparison of Several Multisource ASRs in Realistic Conditions. In: Interspeech 2011, Florence, Italy, pp. 2273–2276 (August 2011)Google Scholar
  15. 15.
    Liao, H.-C., Tu, C.-C.: A RDF and OWL-based temporal context reasoning model for smart home. Information Technology Journal 6(8), 1130–1138 (2007)CrossRefGoogle Scholar
  16. 16.
    Lowd, D., Domingos, P.: Efficient weight learning for Markov logic networks. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 200–211. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  17. 17.
    Mileo, A., Merico, D., Bisiani, R.: Reasoning support for risk prediction and prevention in independent living. Theory and Practice of Logic Programming 11(2-3), 361–395 (2011)CrossRefzbMATHGoogle Scholar
  18. 18.
    Nath, A., Domingos, P.: A language for relational decision theory. In: International Workshop on Statistical Relational Learning, Leuven, Belgium (2009)Google Scholar
  19. 19.
    Nath, A., Domingos, P.: Efficient belief propagation for utility maximization and repeated inference. In: AAAI (2010)Google Scholar
  20. 20.
    Nishiyama, T., Hibiya, S., Sawaragi, T.: Development of agent system based on decision model for creating an ambient space. AI & Society 26(3), 247–259 (2011)CrossRefGoogle Scholar
  21. 21.
    Portet, F., Vacher, M., Golanski, C., Roux, C., Meillon, B.: Design and evaluation of a smart home voice interface for the elderly — Acceptability and objection aspects. Personal and Ubiquitous Computing 17(1), 127–144 (2013)CrossRefGoogle Scholar
  22. 22.
    Richardson, M., Domingos, P.: Markov logic networks. Machine Learning 62(1-2), 107–136 (2006)CrossRefGoogle Scholar
  23. 23.
    Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: Proceedings of the Workshop on Mobile Computing Systems and Applications, pp. 85–90. IEEE Computer Society (1994)Google Scholar
  24. 24.
    Vacher, M., Istrate, D., Portet, F., Joubert, T., Chevalier, T., Smidtas, S., Meillon, B., Lecouteux, B., Sehili, M., Chahuara, P., Méniard, S.: The Sweet-Home project: Audio technology in smart homes to improve well-being and reliance. In: EMBC 2011, Boston, USA, pp. 5291–5294 (2011)Google Scholar
  25. 25.
    Wolf, P., Schmidt, A., Klein, M.: Soprano - an extensible, open aal platform for elderly people based on semantical contracts. In: 3rd Workshop on Artificial Intelligence Techniques for Ambient Intelligence, Patras, Greece (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Pedro Chahuara
    • 1
  • François Portet
    • 1
  • Michel Vacher
    • 1
  1. 1.Laboratoire d’Informatique de GrenobleGrenoble 1/Grenoble INP/CNRS UMR 5217GrenobleFrance

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