Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 9, 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

Human grasp point selection.

Urs Kleinholdermann1, Volker H Franz, Karl R Gegenfurtner

  • 1Department of Psychology, University of Giessen, Giessen, Germany. urs@kleinholdermann.de

Journal of Vision
|July 27, 2013
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Human-aligned evaluation of a pixel-wise DNN color constancy model.

Frontiers in human neuroscience·2026
Same author

Human gloss perception reproduced by tiny neural networks.

Nature human behaviour·2026
Same author

Swiping colors in virtual reality: How stable are color category borders?

Journal of vision·2026
Same author

Modality-general sensitivity of pupil responses to regularity violations.

Cognitive, affective & behavioral neuroscience·2026
Same author

Information-Theoretic Measures of Metacognition: Bounds and Relation to Group Performance.

Open mind : discoveries in cognitive science·2025
Same author

Neural correlates of unconscious processing in functional magnetic resonance imaging: does brain activity contain more information than can be consciously reported?

Neuroscience of consciousness·2025
Same journal

AI-generated faces are becoming more trustworthy.

Journal of vision·2026
Same journal

Attenuated boundary extension in observer perspective memory compared to field perspective memory.

Journal of vision·2026
Same journal

Comparing masking and habituation roles in saccadic omission of stimuli optimized for intra-saccadic vision.

Journal of vision·2026
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
See all related articles

We developed a contact point selection model (CoPS) that predicts how humans choose grasp points for objects. This model integrates grasping rules, improving robotic and prosthetic hand control.

Area of Science:

  • Neuroscience
  • Robotics
  • Human-Computer Interaction

Background:

  • Grasping objects requires selecting optimal finger contact points from infinite possibilities.
  • Existing models often struggle to predict human grasp point selection accurately.

Purpose of the Study:

  • To present a novel contact point selection model (CoPS) for predicting human grasp points in precision grips.
  • To evaluate the relative importance of different grasping rules through conflict experiments.

Main Methods:

  • Developed the CoPS model combining basic rules identified in human and robotic grasping.
  • Designed conflict experiments to assess the relative importance of these rules.
  • Validated model predictions against human grasp choices on complex objects.
Keywords:
contact point selectiongraspinghand prosthesesmodelingmotor control

More Related Videos

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
09:11

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Related Experiment Videos

Last Updated: May 9, 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

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
09:11

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Main Results:

  • The CoPS model accurately predicts human grasp point selection.
  • Human preference for natural grasp angles is as crucial as physical stability.
  • Model performance was validated on novel, complex object shapes.

Conclusions:

  • The CoPS model offers a robust method for predicting human grasp strategies.
  • Integrating this model into cortically guided prostheses can enhance naturalness and efficiency.
  • This approach could improve the functionality of artificial limbs and robotic grippers.