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Related Experiment Video

Updated: Jun 21, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Sensorimotor memory of object weight distribution during multidigit grasp.

Frederic Albert¹, Marco Santello, Andrew M Gordon

¹Department of Biobehavioral Sciences, Teachers College, Columbia University, 525 West 120th Street, New York, NY 10027, USA.

Neuroscience Letters

|August 4, 2009

Summary

Humans transferred overall grip force but not individual finger force adjustments when lifting an object with an asymmetric center of mass (CM) after rotation. This suggests distinct sensorimotor memories for weight versus mass distribution.

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Area of Science:

Neuroscience
Biomechanics
Human motor control

Background:

Humans learn to adjust grip forces for lifting objects based on their center of mass (CM).
Understanding how this learned motor skill transfers after object manipulation is crucial for grasping and manipulation research.

Purpose of the Study:

To investigate the transfer of learned force-sharing patterns after object rotation and translation.
To determine if weight and CM information are transferred similarly in sensorimotor memories.

Main Methods:

Subjects performed object lifts with an asymmetric CM under different weight conditions.
Object orientation was changed (rotation and translation) before a subsequent lift.
Force sharing patterns and object roll were measured to quantify learning transfer.

Main Results:

Overall fingertip force gain was transferred after object rotation.
Individual digit force scaling specific to the initial configuration was not transferred.
Increased object roll occurred on the first post-rotation lift compared to pre-rotation lifts.

Conclusions:

Sensorimotor memory for overall weight (requiring force gain scaling) is transferable.
Sensorimotor memory for mass distribution (requiring specific digit force adjustments) is configuration-specific and not readily transferred.
This suggests distinct neural mechanisms underlie the memory of weight versus mass distribution.