Self-reflective segmentation of human bodily motions using recurrent neural networks

IEEE Transactions on Industrial Electronics

Volumn 50, Issue 5, 2003, Pages 903-911

  Sawaragi, Tetsuo ^a   Kudoh, Takahiro ^b  

^a KYOTO UNIVERSITY   (Japan)

^b PANASONIC CORPORATION   (Japan)

Author keywords

Human system interactions; Recurrent neural networks (RNNs); Segmentation; Semiosis; Shared autonomy

Indexed keywords

CYBERNETICS; INTELLIGENT AGENTS; LEARNING SYSTEMS; RECURRENT NEURAL NETWORKS; SELF ORGANIZING STORAGE; SEMIOTICS;

HUMAN-SYSTEM INTERACTIONS; SELF-REFLECTIVE SEGMENTATION; SEMIOSIS; SHARED AUTONOMY;

HUMAN COMPUTER INTERACTION;

EID: 0141987503     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2003.817608     Document Type: Article

References (12)

1. S. Harnad, "The symbol grounding problem," Physica D, vol. 42, pp. 335-346, 1990.
2. Proc. 1997 Int. Conf. Intelligent Systems and Semiotics: A Learning Perspective, A. Meystel, Ed., Gaithersburg, MD, 1997.
3. J. L. Elman, "Finding structures in time," Cogn. Sci., vol. 14, pp. 179-211, 1990.
4. H. H. Clark, Using Language. Cambridge, U.K.: Cambridge Univ. Press, 1996.
5. C. S. Peirce, Phylosophycal Writings of Peirce, J. Buchler, Ed. New York: Dover, 1955.
6. T. Sawaragi, "Emerging intelligence for next generation intelligent control," J. Robot. Mechatron., vol. 12, no. 6, pp. 614-627, 2000.
7. W. J. Freeman, "A neurobiological interpretation of semiotics: meaning, representation, and causality," in Proc. 1997 Int. Conf. Intelligent Systems and Semiotics: A Learning Perspective, 1997, pp. 487-492.
8. L. Fadiga, L. Fagassi, G. Pavesi, and G. Rizzolatti, "Motor facilitation during action observation: a magnetic stimulation study," J. Neurophysiol., vol. 73, no. 6, 1995.
9. J. M. Rubin and W. A. Richards, "Boundaries of visual motion," Artificial Intelligence Lab., Massachusetts Inst. Technol., Cambridge, MA, AI-Memo 835, 1985.
10. R. A. Schmidt, "Motor and action perspectives on motor behavior," in Complex Movement Behavior, O. G. Meijer and K. Roth, Eds. Amsterdam, The Netherlands: Elsevier, 1988, pp. 3-44.
11. T. Sawaragi, T. Kudoh, and S. Ozawa, "Extracting motion skills from expert's proficient operation records using recurrent neural network," in Preprints 14th IFAC World Congr., vol. M, 1999, pp. 359-364.
12. T. Sawaragi and Y. Horiguchi, "Analysis of task morphologies for networking behavioral skill via virtual reality," ACM J. Intell.: New Visions of AI in Practice, vol. 11, no. 3, pp. 20-32, 2000.