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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
Published on: November 6, 2015
Hand-held tools with complex kinematics are efficiently incorporated into movement planning and online control
Lee A Baugh1, Erica Hoe, J Randall Flanagan
1Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada. lee.baugh@usd.edu
Journal of Neurophysiology
|July 10, 2012
Summary
Using virtual tools with complex movements, like a reversed pool cue, can be learned quickly. Providing full visual feedback of the tool eliminates delays in movement initiation and correction.
Area of Science:
- Motor control
- Human-computer interaction
- Robotics
Background:
- Hand-held tools can alter the relationship between hand movements and tool endpoint motion.
- Previous research indicates movement time costs are increased with reversed mappings.
Purpose of the Study:
- To investigate if virtual tools with complex kinematics reduce movement time costs associated with reversed mappings.
- To determine the effect of visual feedback on sensorimotor adaptation to tool use.
Main Methods:
- Participants controlled a virtual tool with a reversed or non-reversed mapping between hand and endpoint motion.
- Movement initiation and correction times were measured with and without full visual feedback of the tool.
Main Results:
- Movement initiation and correction times were significantly longer in the reversal condition when only endpoints were visible.
- Providing full visual feedback of the virtual tool almost eliminated the reaction time cost in the reversal condition.
Conclusions:
- Complex kinematic tools can be efficiently integrated into sensorimotor control.
- Visual feedback is crucial for adapting to and overcoming altered motion mappings when using tools.
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