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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Collision error avoidance: influence of proportion congruency and sensorimotor memory on open-loop grasp control.

Ryan Brydges1, Adam Dubrowski

  • 1Institute of Medical Science, University of Toronto, Toronto, ON, Canada.

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Sensory uncertainty influences grasping. The brain integrates visual and haptic cues, adjusting grip aperture and forces based on trial history and congruency, prioritizing collision avoidance.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human-Computer Interaction

Background:

  • Grasping behavior integrates object knowledge and sensory information.
  • Sensory uncertainty can significantly impact motor control during object manipulation.

Purpose of the Study:

  • To investigate how sensory uncertainty and trial history affect grasp kinematics and forces.
  • To determine the role of congruent versus incongruent multisensory cues in grasp planning.
  • To explore the adaptive strategies of the grasp control system under varying task constraints.

Main Methods:

  • Participants performed reaching and grasping tasks with simultaneous visual and haptic cues.
  • Visual cues were either congruent or incongruent with haptic cues and target size.
  • Sensory uncertainty was manipulated by varying the proportion of congruent trials (20% vs. 80%).
  • Grasp kinematics (e.g., maximum grip aperture) and forces were analyzed.
  • The influence of preceding trial type (congruent/incongruent) on current trial performance was examined.

Main Results:

  • Proportion congruency affected maximum grip aperture (MGA), with higher MGA in the 80% congruency group.
  • A significant interaction showed the 20% congruency group used greater peak load force on congruent trials.
  • Incongruent trials following congruent trials resulted in decreased movement time, increased MGA, and increased grasping forces.
  • Temporal kinematics were not significantly affected by proportion congruency.

Conclusions:

  • The grasp control system flexibly integrates multisensory information based on task constraints.
  • Preventing collision errors, indicated by adequate maximum grip aperture, appears to be a key principle in grasp control.
  • Trial history and the proportion of congruent stimuli dynamically modulate motor planning and execution.