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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yejun Wei Patton, J. Bajaj, P. Scheidt, R. |
| Copyright Year | 2005 |
| Description | Author affiliation: Sensory Motor Performance Program Rehabilitation Institute of Chicago Northwestern University Chicago, IL 60611; y-wei2@northwestern.edu (Yejun Wei) |
| Abstract | We developed a real-time controller for a 2 degree-of-freedom robotic system using xPC Target. This system was used to investigate how different methods of performance error feedback can lead to faster and more complete motor learning in individuals asked to compensate for a novel visuo-motor transformation (a 30 degree rotation). Four groups of human subjects were asked to reach with their unseen arm to visual targets surrounding a central starting location. A cursor tracking hand motion was provided during each reach. For one group of subjects, deviations from the “ideal” compensatory hand movement (i.e. trajectory errors) were amplified with a gain of 2 whereas another group was provided visual feedback with a gain of 3.1. Yet another group was provided cursor feedback wherein the cursor was rotated by an additional (constant) offset angle. We compared the rates at which the hand paths converged to the steady-state trajectories. Our results demonstrate that error-augmentation can improve the rate and extent of motor learning of visuomotor rotations in healthy subjects. Furthermore, our results suggest that both error amplification and offset-augmentation may facilitate neuro-rehabilitation strategies that restore function in brain injuries such as stroke. |
| Starting Page | 4406 |
| Ending Page | 4411 |
| File Size | 371131 |
| Page Count | 6 |
| File Format | |
| ISBN | 078038914X |
| DOI | 10.1109/ROBOT.2005.1570798 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-04-18 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Haptic interfaces Graphics Robot sensing systems Rehabilitation robotics Brain injuries Biomedical engineering Humans Real time systems Control systems Target tracking visual distortion neuro-robotics error augmentation xPC Target motor learning |
| Content Type | Text |
| Resource Type | Article |
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