Name
Abstract | ||
|---|---|---|
To study the effects of different feedback error amplification methods on a subject's upper-limb motor learning and affect during a point-to-point reaching exercise, we developed a real-time controller for a robotic manipulandum. The reaching environment was visually distorted by implementing a thirty degrees rotation between the coordinate systems of the robot's end-effector and the visual display. Feedback error amplification was provided to subjects as they trained to learn reaching within the visually rotated environment. Error amplification was provided either visually or through both haptic and visual means, each method with two different amplification gains. Subjects' performance (i.e., trajectory error) and self-reports to a questionnaire were used to study the speed and amount of adaptation promoted by each error amplification method and subjects' emotional changes. We found that providing haptic and visual feedback promotes faster adaptation to the distortion and increases subjects' satisfaction with the task, leading to a higher level of attentiveness during the exercise. This finding can be used to design a novel exercise regimen, where alternating between error amplification methods is used to both increase a subject's motor learning and maintain a minimum level of motivational engagement in the exercise. In future experiments, we will test whether such exercise methods will lead to a faster learning time and greater motivation to pursue a therapy exercise regimen. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346821 | EMBC |
Keywords | Field | DocType |
robots end-effector,medical robotics,biomechanics,robotic manipulandum,amplification gains,learning (artificial intelligence),distortion,haptic feedback,error amplification methods,visual display,therapy robotics,motor motivation,error amplification method,real-time controller,feedback error amplification,visual feedback,point-point reaching exercise,feedback error amplification methods,visual means,coordinate systems,visually rotated environment,medical computing,upper-limb motor learning,exercise,patient treatment,learning artificial intelligence | Computer vision,Control theory,Motor learning,Computer science,Therapy exercise,Artificial intelligence,Emotional Changes,Robot,Haptic technology,Trajectory,Robotics | Conference |
Volume | ISSN | ISBN |
2012 | 1557-170X | 978-1-4577-1787-1 |
Citations | PageRank | References |
1 | 0.42 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Navid Shirzad | 1 | 1 | 0.42 |
| H. F. Machiel Van Der Loos | 2 | 75 | 22.83 |