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The spatiotemporal structure of control variables during catching
R C Polman1, H T Whiting, G J Savelsbergh
1Department of Psychology, University of York, Heslington, UK. rcp3@uk.ac.york
Experimental Brain Research
|June 1, 1996
Summary
This study compared traditional force scaling models with dynamic explanations for load compensation during ball catching. Results suggest dynamic models better explain how the brain adapts motor control under altered conditions.
Area of Science:
- Motor control
- Biomechanics
- Human movement science
Background:
- Discrepancy between traditional force scaling models and dynamic explanations (lambda model) of load compensation.
- Need to clarify motor control principles using complex motor skills.
Purpose of the Study:
- Investigate discrepancies between force scaling and dynamic models.
- Examine load compensation in a dynamic task (ball catching).
- Clarify underlying organizational principles in motor control.
Main Methods:
- Used the 'open' motor skill of catching a ball.
- Compared baseline conditions with spring-loaded hand conditions.
- Analyzed maximal closing velocity, grasp aperture, and movement time.
Main Results:
- Maximal closing velocity was higher in baseline than spring-loaded conditions.
- Grasp aperture at catch was smaller in baseline than spring-loaded conditions.
- No significant differences in temporal variables were found.
Conclusions:
- Force scaling models could not fully explain the results.
- The lambda model adequately explained the observed load compensation.
- Spatiotemporal control patterns for catching are invariant, but movement structure changes with load.