The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

Controlling prosthetics with brain-machine interface would soon become the most natural way to restore limb function to those who suffer from neurodegenerative disease or injury. Here, we first discuss the development of neural signal processing systems for brain-machine interfaces which provide control within the Cartesian (extrinsic) frames of motion. Then we justify the development of systems that provide control using the kinematic (intrinsic) frames of motion of the manipulator prosthetic device. An experiment to create a general model of natural arm motion is presented, along with its prosthetic application to brain-machine interfaces.

Notes

Associated Lab(s) / Group(s): Neurobotics Laboratory

Number of pages: 5

Text Reference

Samuel Clanton, J. Laws, and Yoky Matsuoka, "Determination of the Arm Orientation for Brain-Machine Interface Prosthetic," Proceedings of the 14th IEEE Intl. Workshop on Robot and Human Interactive Communication, August, 2005, pp. 422 - 426.

BibTeX Reference

@inproceedings{Clanton_2005_5325,
   author = "Samuel Clanton and J. Laws and Yoky Matsuoka",
   title = "Determination of the Arm Orientation for Brain-Machine Interface Prosthetic",
   booktitle = "Proceedings of the 14th IEEE Intl. Workshop on Robot and Human Interactive Communication",
   pages = "422 - 426",
   month = "August",
   year = "2005",
}

The Robotics Institute

Menu