Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Emotional Behavior Decision Model Based on Linear Dynamic System for Intelligent Service Robots

지능형 서비스 로봇을 위한 선형 동적 시스템 기반의 감정 기반 행동 결정 모델

  • 안호석 (서울대학교 전기컴퓨터공학부, 자동화시스템 공동연구소) ;
  • 최진영 (서울대학교 전기컴퓨터공학부, 자동화시스템 공동연구소)
  • Published : 2007.08.01
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Abstract

This paper introduces an emotional behavior decision model based on linear system for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of intelligent service robots and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear dynamic system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented a cyber robot and an emotional head robot using 3D character for verifying the performance of the proposed emotional behavior decision model.

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References

  1. P. S. Aleksic and A. K. Katsaggelos, 'Automatic facial expression recognition using facial animation parameters and multistream HMMs,' Information Forensics and Security, IEEE Transactions on, vol. 1, no. 1, pp. 3-11, Mar., 2006 https://doi.org/10.1109/TIFS.2005.863510
  2. W. Zheng, X. Zhou, C. Zou, and L. Zhao, 'Facial expression recognition using kernel canonical correlation analysis,' IEEE Transaction on Neural Network, vol. 17, no. 1, pp. 233-238, Jan., 2006 https://doi.org/10.1109/TNN.2005.860849
  3. H. Gu and Q. Ji, 'Facial event classification with task oriented dynamic bayesian network,' Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '04), vol. 2, pp. 870-875, Jun., 2004
  4. J. Nicholson, K. Takahashi, and R. Nakatsu, 'Emotion recognition in speech using neural networks,' Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on, vol. 2, pp. 495-501, Nov, 1999
  5. Y.-H. Hyun, E.-H. Kim, and Y.-K. Kwak, 'Robust speech emotion recognition using log frequency power ratio,' SICEICASE, 2006. International Joint Conference, pp. 2586-2589, Oct., 2006
  6. B. Schuller, D. Arsic, F. Wallhoff, M. Lang, and G. Rigoll, 'Bioanalog acoustic emotion recognition by genetic feature generation based on low-level-descriptors,' Computer as a Tool, 2005. EUROCON 2005. The International Conference on, vol. 2, pp. 1292-1295, Nov., 2005
  7. C. K. Lee, S. K. Yoo, Y. J. Park, N. H. Kim, K. S. Jeong, and B. C. Lee, 'Using neural network to recognize human emotions from heart rate variability and skin resistance,' Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, pp. 5523-5525, Sep., 2005
  8. J. Wagner, J. Kim, and E. Andr, 'From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification,' Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on, pp. 940943, Jul., 2005
  9. S. Kshirsagar, 'A multilayer personality model,' Proceedings of 2nd international symposium on smart graphics, pp.107-115, 2002
  10. H. Nakajima, et. al., 'The functionality of human-machine collaboration systems mind model and social behavior,' Systems, Man and Cybernetics, 2003. IEEE International Conference on, vol. 3, pp. 2381-2387, Oct., 2003
  11. D. Yingying, H. Yan, and J. J-ping, 'Self-organizing multi-robot system based on personality evolution,' 2002 IEEE International Conference on Systems, Man and Cybernetics, vol.5., Oct., 2002
  12. F. Hara and S. Mogi, 'A computational model of artificial emotion by using harmony theory and genetic algorithm,' Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on, pp. 414-419, Nov., 1993
  13. C. Breazeal, 'Function meets style: insights from emotion theory applied to HRI,' Systems, Man and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 34, no. 2, pp. 187-194, May, 2004 https://doi.org/10.1109/TSMCC.2004.826270
  14. Miwa H., et. al., 'Effective emotional expressions with expression humanoid robot WE-4R11: integration of humanoid robot hand RCH-I,' IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004 (IROS 2004), vol. 3, pp. 2203-2208, 2004
  15. C. L. Lisetti, et al, 'A social informatics approach to human-robot interaction with a service robot,' Systems, Man and Cybernetics, 2004. IEEE International Conference on, vol. 34, no.2, pp.195-209, 2004
  16. C.-W. Yu and J. Choi, 'Behavior decision model of robot based on emotion and dynamic personality,' International Conference on Control, Automation, Systems, Jul., 2005
  17. M. Fujita, 'On activating human communications with per-type robot AIBO,' Proceedings of the IEEE, vol. 92, no. 11, pp. 1804-1813, Nov., 2004 https://doi.org/10.1109/JPROC.2004.835364
  18. K. Sakai, Y. Yasukawa, Y. Murase, S. Kanda, and N. Sawasaki, 'Developing a service robot with communication abilities,' Robot and Human Interactive Communication, 2005. ROMAN 2005. IEEE International Workshop on, pp. 91-96, Aug., 2005
  19. Y. Koide, T. Kanda, Y. Sumi, K. Kogure, and H. Ishiguro, 'An approach to integrating an interactive guide robot with ubiquitous sensors,' Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, vol. 3, pp. 2500-2505, Sep., 2004
  20. T. Fukuda, M.-J. Jung, M. Nakashima, F. Arai, and Y. Hasegawa, 'Facial expressive robotic head system for human-robot communication and Its application in home environment,' Proceedings of the IEEE, vol. 92, no. 11, pp. 1851-1865, Nov., 2004 https://doi.org/10.1109/JPROC.2004.835355
  21. J. H. Na, H. S. Ahn, M. S. Park, and J. Y. Choi, 'Development of reconfigurable and evolvable architecture for intelligence implement,' the Journal of Fuzzy Logic and Intelligent System, vol. 15, no. 6, pp. 35-39, Dec., 2005