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Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study
D M Wolpert1, Z Ghahramani, M I Jordan
1Department of Brain and Cognitive Sciences, E10-219 MIT, Cambridge 02139, USA.
Experimental Brain Research
|January 1, 1995
Summary
Human arm movements are planned using visually-based kinematic coordinates, not dynamic ones. This study shows that perceived visual feedback influences arm trajectory planning, suggesting vision is key to movement control.
Area of Science:
- Neuroscience
- Biomechanics
- Motor Control
Background:
- Human arm movements exhibit invariant features like straight trajectories and smooth velocity profiles.
- Movement planning models are broadly categorized into kinematic and dynamic coordinate systems.
- Distinguishing between these planning frameworks is crucial for understanding motor control.
Purpose of the Study:
- To investigate whether human arm trajectories are planned in kinematic or dynamic coordinates.
- To determine the role of visual feedback in modifying perceived movement curvature and subsequent adaptation.
- To differentiate between kinematic and dynamic models of trajectory planning using artificial visual perturbations.
Main Methods:
- Studied planar two-joint arm movements under self-paced conditions.
- Introduced artificial visual feedback to alter the perceived curvature of hand trajectories.
- Applied perturbations that increased or decreased perceived curvature during sagittal and transverse movements.
Main Results:
- Increasing perceived curvature of sagittal movements led to significant corrective adaptation, making the actual movement curved.
- Increasing curvature of transverse movements resulted in significant adaptation, making the movement straighter.
- Reducing perceived curvature of transverse movements showed no significant adaptation.
Conclusions:
- Arm trajectories are planned in visually-based kinematic coordinates.
- The desired trajectory appears to be straight in visual space.
- Spatial perception via vision fundamentally influences human arm trajectory planning, challenging purely dynamic models.