Abstract
The growing number of robotics application fields, mainly in services, has led to the increase of new needs as well as the development of new facilities for teleoperation. Research in the design of more efficient and easy to use human-machine interfaces has propitiated the development of friendly communication systems such as those based on voice or gesture recognition. This work describes a vision based human-machine communication system that allows a computer or a control unit to “see and track” the position of the hands of a human. Thus, the vision system can be used as a virtual exoskeleton for simple telemanipulation tasks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
R. C. Goertz (1964) Manipulator systems development at ANL. In proc. Of the 12th Int. RSTD Conference.
M. Bergamasco (1995). Force replication to the human operator: The development of arm and hand exoskeleton as haptic devices. In The seventh ISRR, Germany, pp. 173–182
R. Azuma, G. Bishop (1994). Improved Static and Dynamic Registration in an Optical See-through HMD. In Proc. SIGGRAPH, Orlando.
R. Rasid (1979). LIGHTS: A study in motion. In Proc. DARPA Image Understanding Workshop, pp. 57–68, Nov.
M. Ward, R. Azuma, R. Bennett, S. Gottscalk, H. Fuchs (1992). A Demonstrated Optical Tracker with Scalable Work Area for Head-Mounted Display Systems. In Proc. of the Symposium on Interactive 3D Graphics, pp. 43–52.
M. Yachida and Y. Iwai (1998). Looking at Human Gestures. Computer Vision for Human-Machine Interaction. Ed. by R. Cipolla and A. Pentland. Cambridge University Press.
D.M. Gavrila and L.S. Davis (1996). 3-D model-based tracking of humans in action: a multi-view approach. IEEE Computer Vision and Pattern Recognition.
O.A. Alsayegh and D.P. Brazakovic (1998). Guidance of Video Data Acquisition by Myoelectric Signals for Smart Human-Robot Interfaces. In Proc. of ICRA’98.
A. Pentland and B. Horowitz (1991). Recovery of nonrigid motion and structure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(7): 730–742.
Y. Yacoob and L. Davis. Learned Temporal Models of Image Motion. ICCV’98, pp. 446–453, 1998
H. Nugroho, J. Hwang and S. Ozawa (1994). Tracking Human Motion in a Complex Scene Using Textural Analysis. IECON 94, pp. 727–732.
J.M. Buades, R. Mas & F.J. Perales (2000). Matching Human Walking Sequence with a VRML Synthetic Model. Works. Articulated Motion and Deformable Objects, pp. 145–158.
J. Amat, A. Casals, M. Frigola. Stereoscopic System for Human Body Tracking in Natural Scenes. ICCV Workshop on Modelling People, MPEOPLE’99, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Amat, J., Frigola, M., Casals, A. (2001). Virtual Exoskeleton for Telemanipulation. In: Rus, D., Singh, S. (eds) Experimental Robotics VII. Lecture Notes in Control and Information Sciences, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45118-8_3
Download citation
DOI: https://doi.org/10.1007/3-540-45118-8_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42104-7
Online ISBN: 978-3-540-45118-1
eBook Packages: Springer Book Archive