Abstract
In this paper, an intelligent home environment with an adaptive type-2 fuzzy logic (AT2FL) method is developed. The considered system is mainly for elderly and disabled persons and catches the users’ intention through recognizing their hand gestures instead of remote controller. However, during the recognition procedure, to distinguish between the command and ordinary gestures needs a very rigorous procedure, and to cope with that, the AT2FL approach is proposed in this paper. The presented algorithm is applied to control home appliances, and some experimental results will be shown to verify the feasibility and effectiveness.
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Statistical Bureau, The Management and Coordination Agency, Japan & Korea National Statistical Office, Korea.
Yang, S.E.: Gesture Spotting using Fuzzy Garbage Model and User Adaptation. Thesis for the Master Degree, KAIST (2006)
Bien, Z.Z., Park, K.-H., Jung, J.-W.: Intelligent Sweet Home - Welfare-Oriented Robotic House for Assisting the Handicapped and the Elderly. In: Proc. of ICRA 2004, New Orleans, LA, USA (2004)
Stefanov, D.H., Bien, Z.Z., Bang, W.-C.: The Smart House for Older Persons and Persons With Physical Disabilities: Structure, Technology Arrangements, and Perspectives. IEEE Transactions on Neural Systems and Rehabilitation Engineering 12(2) (2004)
Mozer, M.C.: The neural network house: An environment that adapts to its inhabitants’. In: Proc.of the American Association for Artificial Intelligence Spring Symposium on Intelligent Environments, pp. 110–114. AAAI, Menlo Park (1998)
Hagras, H., et al.: Incremental Synchronous Learning for Embedded Agents Operating in Ubiquitous Computing Environments. In: Soft Computing Agents, pp. 25–55. IOS Press, Amsterdam (2002)
Sato, S., Sakane, S.: A Human-Robot Interface Using an Interactive Hand Pointer that Projects a Mark in the Real Work Space. In: Proc. of the IEEE ICRA, pp. 589–595. IEEE Computer Society Press, Los Alamitos (2000)
Jojic, N., Brumitt, B., et al.: Detection and Estimation of Pointing Gestures in Dense Disparity Maps, Automatic Face and Gesture Recognition. In: Proc. 4 IEEE Int. conf., pp. 468–474. IEEE Computer Society Press, Los Alamitos (2000)
Wang, L.X.: Stable Adaptive Fuzzy Controllers with Application to Inverted Pendulum Tracking. IEEE Trans. on Sys. Man & Cyb. - Part B 26(5), 677–691 (1996)
Nguyen, H.T., et al.: A First Course in Fuzzy and Neural Control. Chapman&Hall/CRC, Boca Raton (2003)
Karnik, N.N., Mendel, J.M., Liang, Q.: Type-2 Fuzzy Logic Systems. IEEE TRANSACTIONS ON FUZZY SYSTEMS 7(6), 643–658 (1999)
Mendel, J.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, Upper Saddle River (2001)
Castillo, O., Cazarez, N., Melin, P.: Design of Stable Type-2 Fuzzy Logic Controllers based on a Fuzzy Lyapunov Approach. In: IEEE International Conference on Fuzzy Systems, pp. 2331–2336. IEEE Computer Society Press, Los Alamitos (2006)
Wan, T.W., Kamal, D.H.: On-line Learning Rules For Type-2 Fuzzy Controller. In: IEEE International Conference on Fuzzy Systems, pp. 513–520. IEEE Computer Society Press, Los Alamitos (2006)
Lee, C.-H., et al.: Decoupled Adaptive Type-2 Fuzzy Controller (DAT2FC) Design for Nonlinear TORA Systems. In: IEEE International Conference on Fuzzy Systems, pp. 506–512. IEEE Computer Society Press, Los Alamitos (2006)
Inagaki, Y., et al.: Behavior-based Intention Inference for Intelligent Robots Cooperating with Human. In: IEEE International Conference on Fuzzy Systems, 1995, pp. 1695–1700. IEEE Computer Society Press, Los Alamitos (1995)
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Huh, S., Yang, SE., Park, KH., Do, J., Jang, H., Bien, Z.Z. (2007). Adaptive Type-2 Fuzzy Logic for Intelligent Home Environment. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_4
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DOI: https://doi.org/10.1007/978-3-540-72432-2_4
Publisher Name: Springer, Berlin, Heidelberg
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