International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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User Intention-Awareness System for Goal-oriented Context-Awareness Service

  • Lee, Jung-Eun (School of Information and Communications Engineering, Sungkyunkwan University) ;
  • Yoon, Tae-Bok (School of Information and Communications Engineering, Sungkyunkwan University) ;
  • Lee, Jee-Hyong (School of Information and Communications Engineering, Sungkyunkwan University)
  • Published : 2007.06.01
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Abstract

As the technology developed, the system is being developed as the structure that is adapted to the intelligent environment. Therefore, the existing situation information system couldn't provide satisfactory service to the user as it provides service only by the information which it received from the sensor. This paper analyzed the problems of the existing user intention awareness system and suggested user intention awareness system to provide a stable and efficient service that fits to the intention of the user compensating this. This paper has collected the behavior data based on the scenario of the sequential behavior course of the user that occurs at breakfast time in the kitchen which is the home domain environment thai is closely related to our lives. This scenario course also showed the flow that the goal intentional user intention awareness system acted that it suggested, and showed the sequential course processing the user behavior data by tables and charts.

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References

  1. Ranbiner, L.R., Juans, B.H.: An Introduction to Hidden Markove Models. IEEE ASSP Magazine, pp4-16, 1986
  2. Inagaki, Y., Sugie, H, Aisu, H., Unemi, T.: A study of a method for intention inference from human's behavior, IEEE, Robot and Human Communication, pp.142-145, 1993
  3. Mozer, M.C.: An environment that adapts to its inhabitants. AAAI, pp.110-114, 1988
  4. http://www.ubiq.com/hypertext/weiser/UbiHome.html
  5. Endsley, M.R.: Situation awareness global assessment technique. In: Proceedings of the National Aerospace and Electronics Conference, pp.789-759, 1998
  6. Oliver, N., Horvitz, E., Garg, A.: Layered Representations for Human Activity Recognition. ICMl, Fourth IEEE International Conference on Multimodal lnterfaces, pp.3-8, 2002
  7. Jiang, L., Liu, D.Y. Smart home research, Machine Learning and Cybernetics, pp. 659-663, 2004
  8. Cook, D.J., Youngblood, M., Heierman, E.O., Ill; Gopalratnarn, K., Rao, S.; Litvin, A.; Khawaja, F., MavHome: an agent-based smart home, Pervasive Computing and Communications, pp.521-524, 2003