Deriving action and behavior primitives from human motion data

IEEE International Conference on Intelligent Robots and Systems

Volumn 3, Issue , 2002, Pages 2551-2556

  Chadwicke Jenkins, Odest ^a   Matarić, Maja J ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATRIX ALGEBRA; MOTION CONTROL; PRINCIPAL COMPONENT ANALYSIS; SENSORY PERCEPTION;

HUMANOID ROBOT CONTROL; PERCEPTUAL-MOTOR PRIMITIVES; SPATIO-TEMPORAL NON LINEAR DIMENSION REDUCTION TECHNIQUE;

ROBOTS;

EID: 0036448904     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. C. Bregler. Learning and recognizing human dynamics in video sequences. In IEEE Conference on Computer Vision and Pattern Recognition, pages 568-574, 1997.
2. Jonathan D. Cohen, Ming C. Lin, Dinesh Manocha, and Madhav K. Ponamgi. I-COLLIDE: An interactive and exact collision detection system for large-scale environments. In Proceedings of the 1995 symposium on Interactive 3D graphics, pages 189-196, 218. ACM Press, 1995.
3. J. Demiris and G. Hayes. Active and passive routes to imitation. In In Proceedings of the AISB symposium on imitation in animals and artifacts., 1999.
4. A. Fod, M. Matarić, and O. Jenkins. Automated derivation of primitives for movement classification. Autonomous Robots, 12(1):39-54, January 2002.
5. S. Harmeling, A. Ziehe, M. Kawanabe, B. Blankertz, and K. Muller. Nonlinear blind source separation using kernel feature spaces. In Third Internation Conference on Independent Component Analysis and Signal Separation, 2001.
6. M. Haruno, D. M. Wolpert, and M. Kawato. Multiple forward-inverse models for human motor learning and control. In Advances in Neural Information Processing Systems 11. MIT Press, 1999.
7. M. Hollars, D. Rosenthal, and M. Sherman. Sd/fast user's manual. Technical report, Symbolic Dynamics, Inc., 1991.
8. A. J. Ijspeert, J. Nakanishi, and S. Schaal. Trajectory formation for imitation with nonlinear dynamical systems. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2001), pages 752-757, 2001.
9. O. C. Jenkins, M. Matarić, and S. Weber. Primitive-based movement classification for humanoid imitation. In Proc. of First IEEE-RAS International Conference on Humanoid Robots, Cambridge, MA, USA, 2000.
10. Maja J Matarić. Sensory-motor primitives as a basis for imitation: Linking perc eption to action and biology to robotics. In C. Nehaniv & K. Dautenhahn editor, Imitation in Animals and Artifacts. The MIT Press, 2001.
11. Maja J Matarić, Victor B. Zordan, and Z. Mason. Movement control methods for complex, dynamically simulated agents: Adonis dances the macarena. In Autonomous Agents, pages 317-324, 1998.
12. Charles Rose, Michael F. Cohen, and Bobby Bodenheimer. Verbs and adverbs: Multidimensional motion interpolation. IEEE Computer Graphics & Applications, 18(5):32-40, September - October 1998. ISSN 0272-1716.
13. S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000.
14. S. Schaal and D. Sternad. Programmable pattern generators. In Third International Conference on Computational Intelligence in Neuroscience, pages 48-51, 1998.
15. Bernhard Scholkopf, Alex J. Smola, and Klaus-Robert Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299-1319, 1998.
16. D. Shepard. A two-dimensional interpolation function for irregularly-spaced data. In Proceedings of the ACM national conference, pages 517-524. ACM Press, 1968.
17. P. Sloan, C. F. Rose, and M. F. Cohen. Shape and animation by example. Technical Report MSR-TR-2000-79, Microsoft Research, 2000.
18. J. B. Tenenbaum, V. de Silva and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.