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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
Published on: April 21, 2023
Effects of object compliance on three-digit grasping
Sara A Winges1, Stephanie E Eonta, John F Soechting
1Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota, USA. swinges@umn.edu
Journal of Neurophysiology
|March 13, 2009
Summary
Grasping compliant objects requires coordinated fingertip forces and muscle activation. Force adjustments change object shape, impacting grip and load forces during lifting tasks.
Area of Science:
- Biomechanics
- Human motor control
- Robotics
Background:
- Grasping rigid objects is well-understood, but compliant objects introduce dynamic challenges.
- Object compliance alters contact surface geometry and force requirements during manipulation.
- Understanding these dynamics is crucial for developing advanced robotic grasping and human motor control strategies.
Purpose of the Study:
- To characterize fingertip force and muscle activation patterns when grasping and lifting compliant objects.
- To investigate how object compliance affects the coordination of grip and load forces.
- To compare motor control strategies for rigid versus compliant object manipulation.
Main Methods:
- Subjects grasped and lifted a 200-g object with three fingers (thumb, index, ring).
- A spring was introduced under contact surfaces to simulate compliance.
- Fingertip forces and surface electromyography (sEMG) from ten hand and one arm muscle were recorded.
Main Results:
- Grip force and muscle activity patterns were similar for compliant and rigid objects during loading and lifting.
- The amplitude of grip force and muscle activity increased with object compliance.
- Tangential (load) forces showed non-monotonic increases with compliance, decoupling from grip forces.
Conclusions:
- Human motor control adapts to object compliance by modulating grip force amplitude.
- Compliance introduces complexities in force control, leading to a decoupling of grip and load forces.
- Findings inform the design of robotic systems capable of handling deformable objects.

