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Related Concept Videos

Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...

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Related Experiment Video

Updated: May 28, 2026

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

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

Published on: April 21, 2023

Haptic and visual influences on grasp point selection.

Satoshi Endo1, Alan M Wing, R Martyn Bracewell

  • 1Behavioural Brain Sciences Centre, School of Psychology, The University of Birmingham, England, UK. SXE690@bham.ac.uk

Journal of Motor Behavior
|October 19, 2011
PubMed
Summary
This summary is machine-generated.

Grasping objects involves choosing points for a secure grip. This study shows that both visual and haptic cues influence where we grasp, guiding our hand toward the object's center of mass (CoM).

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Area of Science:

  • Human motor control
  • Robotics
  • Biomechanics

Background:

  • Precision grip requires selecting grasp points to oppose forces for secure object manipulation.
  • Previous research indicates grasp points are chosen near the object's center of mass (CoM) to minimize lifting torque.
  • Object symmetry and visual cues influence grasp point accuracy.

Purpose of the Study:

  • To investigate the influence of haptic and visual information on grasp point selection.
  • To determine how multimodal sensory information affects the representation of the center of mass (CoM).

Main Methods:

  • Participants performed precision grasps on cuboid objects with either a central or asymmetric CoM.
  • Object lifting tasks were conducted with and without visual cues indicating CoM location.
  • Grasp point locations were recorded and analyzed in relation to object geometry and CoM.

Main Results:

  • For asymmetric cuboids, grasp points shifted from the geometric center towards the actual CoM.
  • This shift was amplified when reliable visual cues accurately indicated the CoM.
  • Haptic feedback alone also influenced grasp point selection, though less strongly than combined cues.

Conclusions:

  • Grasp point selection is not solely based on geometric properties but integrates multimodal sensory information.
  • A multimodal representation of the CoM, combining visual and haptic inputs, guides motor planning for grasping.
  • Understanding these sensory integrations is crucial for developing advanced robotic manipulation and human-assistive technologies.