Recognizing behavior in hand-eye coordination patterns

International Journal of Humanoid Robotics

Volumn 6, Issue 3, 2009, Pages 337-359

  Yi, Weilie ^a   Ballard, Dana ^b  

^a MICROSOFT   (United States)

^b University of Texas at Austin   (United States)

Author keywords

Dynamic Bayesian networks; Humanoid avatars; Markov models

Indexed keywords

BAYES NETWORKS; COMPLEX ACTIVITY; COMPLEX TASK; CONSTRUCTIVE MODEL; DYNAMIC BAYESIAN NETWORKS; EYE-GAZE; HAND EYE COORDINATION; HUMAN BEHAVIORS; HUMAN COMPUTER INTERFACES; HUMAN SUBJECTS; HUMANOID AVATARS; MARKOV MODELS; REAL TIME;

BEHAVIORAL RESEARCH; COORDINATION REACTIONS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTERFACES (COMPUTER); MACHINE DESIGN; MARKOV PROCESSES;

BAYESIAN NETWORKS;

EID: 70349569033     PISSN: 02198436     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219843609001863     Document Type: Article

References (25)

1. T. Asfour, F. Gyarfas, P. Azad and R. Dillmann, Imitation learning of dual-arm manipulation tasks in humanoid robots, in Humanoids (2006).
2. N. Badler, Virtual beings, Communications of the ACM 44 (2001) 33-35.
3. D. H. Ballard, Animate vision, Artificial Intelligence 48 (1991) 57-86.
4. E. B. Baum, What is Thought? MIT Press (2004).
5. C. Breazeal, D. Buchsbaum, J. Gray, D. Gatenby and B. Blumberg, Learning from and about others: Towards using imitation to bootstrap the social understanding of others by robots. Artificial Life 11 (2005) 31-62.
6. T. H. Cormen, C. E. Leiserson and R. L. Rivest, Introduction to Algorithms, MIT Press/McGraw-Hill (1990).
7. J. M. Findlay and I. D. Gilchrist, Active Vision: The Psychology of Looking and Seeing (Oxford University Press, 2003).
8. O. C. Jenkins, G. G. Serrano and M. M. Loper, Interactive human pose and action recognition using dynamic motion primitives, International Journal of Humnoid Robotics 4 (2007) 365-385.
9. A. Liu and Salvucci, Modeling and prediction of human driver behavior, in Proc. 9th HCI International Conference (2001) pp. 1479-1483.
10. M. Lopes and J. Santos-Victor, Visual learning by imitation with motor representations, IEEE Transactions on Systems, Man and Cybernetics 35 (2005) 438-449.
11. K. Murphy, Dynamic Bayesian Networks: Representation, Inference and Learning, PhD thesis, University of California at Berkeley (1994).
12. D. Noton and L. Stark, Scanpaths in eye movements during pattern perception, Science 171(3968) (1971) 308-311.
13. N. Oliver, Towards Perceptual Intelligence: Statistical Modeling of Human Individual and Interactive Behaviots. PhD thesis, MIT (2000).
14. M. Philipose, D. J. Patterson, D. Fox, H. Kautz and D. Hahnel. Inferring activities from interactions with objects. In Pervasive Computing, IEEE 3 (2004) 50-57.
15. C. Phillips, J. Zhao and N. Badler, Interactive real-time articulated figure manipulation using multiple kinematic constraints, Computer Graphics 24 (1990) 245-250.
16. C. A. Rothkopf, D. H. Ballard and M. M. Hayhoe, Task and context determine where you look, Journal of Vision 7 (2007) 1-20.
17. S. Schaal, Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences 3 (1999) 233-242.
18. S. Schaal, A. Ijspeert and A. Billard, Computational approaches to motor learning by imitation, Philosophical Transactions of the Royal Society B 358 (2003) 537-547.
19. A. P. Shon, J. J. Storz, A. N. Meltzoff and R. P. N. Rao, A cognitive model of imitative development in humans and machines, International Journal of Humnoid Robotics 4 (2007) 387-406.
20. N. Sprague, D. Ballard and Al. Robinson, Modeling embodied visual behaviors, ACM Transactions on Applied Perception 4 (2007) 11.
21. M. J. Swain and D. H. Ballard, Color indexing, International Journal of Computer Vision 7(1) (1991) 11-32.
22. S. Ullman, High-Level Vision (MIT Press, 1996).
23. A. L. Yarbus, Eye Movements and Vision (New York, Plenum Press, 1967).
24. W. Yi and D. H. Ballard, Routine based models of anticipation in natural behaviors, in AAAI Fall Symposium, From Reactive to Anticipatory Cognitive Embodied Systems (Arlington, VA, November 2005), pp. 141-147.
25. C. Yu and D. H. Ballard, Learning to recognize human action sequences, in Proc. IEEE International Conference on Development and Learning (Cambridge, MA, June 2002).