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Advances in Human-Computer Interaction
Volume 2012 (2012), Article ID 724587, 20 pages
Estimation Algorithm of Machine Operational Intention by Bayes Filtering with Self-Organizing Map
1School of Science and Technology for Future Life, Department of Robotics and Mechatronics, Tokyo Denki University, 2-2 Kanda-Nishiki-cho, Chiyoda-ku, Tokyo 101-8457, Japan
2Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji-Shi, Tokyo 192-0397, Japan
Received 6 June 2011; Revised 31 August 2011; Accepted 9 September 2011
Academic Editor: Holger Kenn
Copyright © 2012 Satoshi Suzuki and Fumio Harashima. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- E. Horvitz, J. Breese, D. Heckerman, D. Hovel, and K. Rommelse, “The Lumière project: bayesian user modeling for inferring the goals and needs of software users,” in Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 256–265, Madison, Wis, USA, 1998.
- I. Zukerman, D. W. Albrecht, and A. E. Nicholson, “Predicting users’ requests on the WWW,” in Proceedings of the 7th International Conference on User Modeling, pp. 275–284, Banff, Canada, 1999.
- J. Gutman, “A means-end chain model based on consumer categorization process,” Journal of Marketing, vol. 46, pp. 60–72, 1982.
- K. Kasaoka and Y. Sankai, “Predictive control estimating operator's intention for stepping-up motion by exo-sckeleton type power assist system HAL,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS '01), pp. 1578–1583, Maui, Hawaii, USA, November 2001.
- K. Sakita, K. Ogawara, S. Murakami, K. Kawamura, and K. Ikeuchi, “Flexible cooperation between human and robot by interpreting human intention from gaze information,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS '04), pp. 846–851, Sendai, Japan, October 2004.
- C. Breazeal, Designing Sociable Robots, MIT Press, 2002.
- T. Shibata, “An overview of human interactive robots for psychological enrichment,” Proceedings of the IEEE, vol. 92, no. 11, pp. 1749–1758, 2004.
- K.-S. Park and D.-S. Kwon, “A cognitive modeling for mental model of an intelligent robot,” International Journal of Assistive Robotics and Mechatronics, vol. 7, no. 3, pp. 16–24, 2006.
- K. Furuta, “Control of pendulum: from super mechano-system to human adaptive mechatronics,” in Proceedings of the 42nd IEEE Conference on Decision and Control, pp. 1498–1507, Maui, Hawaii, USA, December 2003.
- F. Harashima and S. Suzuki, “Intelligent mechatronics and robotics,” in Proceedings of the IEEE International Conference on Emerging Technologies and Factory Automation, (ETFA '08), Hamburg, Germany, 2008.
- W. D. Gray, B. E. John, and M. E. Atwood, “Project Ernestine: validating a GOMS analysis for predicting and explaining real-world task performance,” Human-Computer Interaction, vol. 8, no. 3, pp. 237–309, 1993.
- B. Price, “Frank and Lillian Gilbreth and the motion study controversy, 1907–1930,” in A Mental Revolution: Scientific Management since Taylor, D. Nelson, Ed., The Ohio State University Press, 1990.
- T. Suzuki, S. Sekizawa, S. Inagaki et al., “Modeling and recognition of human driving behavior based on stochastic switched ARX model,” in Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, (CDC-ECC '05), pp. 5095–5100, Seville, Spain, December 2005.
- H. Kawashima and T. Matsuyama, “Multiphase learning for an interval-based hybrid dynamical system,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E88-A, no. 11, pp. 3022–3034, 2005.
- T. Inamura, I. Toshima, H. Tanie, and Y. Nakamura, “Embodied symbol emergence based on mimesis theory,” International Journal of Robotics Research, vol. 23, no. 4-5, pp. 363–377, 2004.
- Y. Inagaki, H. Sugie, H. Aisu, and T. Unemi, “A study of a method for intention inference from human’s behavior,” in Proceedings of the IEEE International Workshop on Robot and Human Communication (Ro-Man '93), pp. 142–145, 1993.
- T. Choudhury, G. Borriello, and D. Haehnel, “The mobile sensing platform: an embedded system for activity recognition,” in Proceedings of the IEEE Pervasive Magazine—Special Issue on Activity-Based Computing, pp. 32–41, 2008.
- J. A. Ward, P. Lukowicz, and H. W. Gellersen, “Performance metrics for activity recognition,” ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 1, article 6, 23 pages, 2011.
- C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
- S. Chizuwa and M. Kameyama, “Bayesian-network-based intention estimation for a user support system of an information appliance,” in Proceedings of the 5th International Conference on Information Technology and Applications (ICITA '08), pp. 71–76, Queensland, Australia, 2008.
- T. Kohonen, “The self-organizing map,” Proceedings of the IEEE, vol. 78, no. 9, pp. 1464–1480, 1990.
- S. Suzuki and F. Harashima, “Segmentation and analysis of console operation using self-organizing map with cluster growing method,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS '09), pp. 4875–4880, St. Louis, Mo, USA, October 2009.
- S. Suzuki and F. Harashima, “Bayesian intention estimator using self-organizing map and its experimental verification,” in Proceedings of the 19th IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man '10), pp. 290–295, Viareggio, Italy, 2010.
- S. Suzuki and F. Harashima, “Estimation of operational intentions utilizing self-organizing map with bayes filtering,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '10), pp. 2249–2255, Taipei, Taiwan, 2010.
- S. Suzuki and F. Harashima, “Skill analysis focused on the hand discrete movement for machine manipulation,” in Proceedings of the 13th IEEE Int. Conf. of Emerging Technologies and Factory Automation (ETFA '08), pp. 156–163, Hamburg, Germany, 2008.
- B. J. Baars, A Cognitive Theory of Consciousness, Cambridge University Press, New York, NY, USA, 1988.
- S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, MIT Press, Cambridge, Mass, USA, 2005.
- G. Winkler, Image Analysis, Random Fields, and Dynamic Monte Carlo Methods, Springer, Berlin, Germany, 1995.
- S. Suzuki and F. Harashima, “Skill evaluation from observation of discrete hand movements during console operation,” Journal of Robotics, vol. 2010, Article ID 967379, 13 pages, 2010.
- S. Suzuki, “Characteristics analysis of a task switching during console operation based on the self-organizing map,” International Journal of Advanced Mechatronic Systems, vol. 2, no. 5-6, pp. 306–317, 2010.
- Helsinki University of Technology, Neural Networks Research Centre Web-site, http://www.cis.hut.fi/research/som-research/nnrc-programs.shtml.
- T. Kohonen, Self-Organizing Maps, Springer, Berlin, Germany, 1995.