[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2007.7.2.154

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)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.7, no.2, 2007 , pp. 154-158 More about this Journal

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.

Keywords

Intelligent home; Intention modeling; Behavior prediction; Behavior analysis;

Citations & Related Records

Reference

1	Oliver, N., Horvitz, E., Garg, A.: Layered Representations for Human Activity Recognition. ICMl, Fourth IEEE International Conference on Multimodal lnterfaces, pp.3-8, 2002
2	Mozer, M.C.: An environment that adapts to its inhabitants. AAAI, pp.110-114, 1988
3	http://www.ubiq.com/hypertext/weiser/UbiHome.html
4	Endsley, M.R.: Situation awareness global assessment technique. In: Proceedings of the National Aerospace and Electronics Conference, pp.789-759, 1998
5	Jiang, L., Liu, D.Y. Smart home research, Machine Learning and Cybernetics, pp. 659-663, 2004
6	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
7	Ranbiner, L.R., Juans, B.H.: An Introduction to Hidden Markove Models. IEEE ASSP Magazine, pp4-16, 1986
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