Difference between revisions of "Analysis of Brain Signal Generation for EEG"

From ESE497 Wiki
Jump to navigationJump to search
(Created page with '* Navigation ** mainpage|mainpage-description ** Robotic Sensing|Robotic Sensing Training ** LabVIEW for Robotics|LabVIEW for Robotics ** Current UGR Projects|Current UGR Project…')
 
Line 1: Line 1:
* Navigation
+
* Abstract
** mainpage|mainpage-description
+
** The overall goal of the WUSTL-BCI project is to have a brain-controlled interface (BCI) by means of a non-invasive electroencephalogram (EEG). The interface would then be used to control a hand exoskeleton for aiding in the rehabilitation of hand motor skills in people who suffer from severe motor impairment. However, the scope of BCIs is not limited to controlling the hand exoskeleton. It can be applied to just about any system that a person could otherwise control—personal computers, cars, and cell phones, just to scratch the surface. The 2D Control group focuses on identifying two sufficiently independent brain signals that can be used to control different processes, as in moving a mouse along a line and being able to click, or two parts of the same process, as in moving the mouse anywhere along a two dimensional plane. Applied to this project, 2D control would mean a second dimension of freedom for the motion of the hand exoskeleton.
 +
 
 
** Robotic Sensing|Robotic Sensing Training
 
** Robotic Sensing|Robotic Sensing Training
 
** LabVIEW for Robotics|LabVIEW for Robotics
 
** LabVIEW for Robotics|LabVIEW for Robotics

Revision as of 01:05, 13 December 2011

  • Abstract
    • The overall goal of the WUSTL-BCI project is to have a brain-controlled interface (BCI) by means of a non-invasive electroencephalogram (EEG). The interface would then be used to control a hand exoskeleton for aiding in the rehabilitation of hand motor skills in people who suffer from severe motor impairment. However, the scope of BCIs is not limited to controlling the hand exoskeleton. It can be applied to just about any system that a person could otherwise control—personal computers, cars, and cell phones, just to scratch the surface. The 2D Control group focuses on identifying two sufficiently independent brain signals that can be used to control different processes, as in moving a mouse along a line and being able to click, or two parts of the same process, as in moving the mouse anywhere along a two dimensional plane. Applied to this project, 2D control would mean a second dimension of freedom for the motion of the hand exoskeleton.
    • Robotic Sensing|Robotic Sensing Training
    • LabVIEW for Robotics|LabVIEW for Robotics
    • Current UGR Projects|Current UGR Projects
    • Reports|Completed UGR Reports
  • SEARCH
  • TOOLBOX
  • Side Bar
    • Mediawiki:Chemical Sensing |Sidebar