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Related Experiment Video

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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

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Published on: April 21, 2023

Contact points during multidigit grasping of geometric objects.

René Gilster1, Constanze Hesse, Heiner Deubel

  • 1General and Experimental Psychology, Ludwig-Maximilians-University, Leopoldstr. 13, 80802, Munich, Germany. rene.gilster@psy.lmu.de

Experimental Brain Research
|December 27, 2011
PubMed
Summary
This summary is machine-generated.

Grasping objects involves precise finger placement, showing a coordinated interplay rather than independent digit movements. This study reveals consistent contact point choices across participants and object shapes.

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Area of Science:

  • Human motor control
  • Biomechanics
  • Robotics

Background:

  • Understanding how humans grasp objects is crucial for fields like robotics and rehabilitation.
  • Previous research has explored grip force and object properties, but less is known about precise contact point selection during multidigit grasping.

Purpose of the Study:

  • To investigate the selection of contact points during multidigit grasping of various objects.
  • To determine the relationship between the number of fingers used and fingertip placement.
  • To explore within- and between-participant variability in contact point selection.

Main Methods:

  • Participants grasped and lifted cylindrical objects with a varying number of fingers (two to five).
  • Participants also grasped more complex shapes (rectangle, hexagon, pentagon, curved object).
  • Contact points and virtual finger positions (geometric mean of opposing fingers) were analyzed.

Main Results:

  • A strong relationship exists between fingertip position and the number of fingers used.
  • Within-participant variability in contact point choice was consistently low across experiments.
  • Participants preferred using four or five fingers when given a free choice.
  • The virtual finger opposed the thumb, forming a functional unit.

Conclusions:

  • Grasping movements appear to be pre-planned.
  • Grasping involves a coordinated interplay of all contributing digits, not independent finger actions.
  • Findings inform the design of robotic grippers and understanding of human motor control.