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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

Grasping Occam's razor.

Jeroen B J Smeets1, Eli Brenner, Juul Martin

  • 1Research Institute MOVE, Faculty of Human Movement Sciences, VU University Amsterdam, van der Boechorststraat 9, NL-1081 BT Amsterdam, The Netherlands. J.Smeets@fbw.vu.nl

Advances in Experimental Medicine and Biology
|February 21, 2009
PubMed
Summary
This summary is machine-generated.

Our "new view on grasping" model, based on single-digit movement principles and the minimum jerk model, is re-examined. Recent results show strong support for fingertip control assumptions in grasping, with the model performing well overall.

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Area of Science:

  • Neuroscience
  • Biomechanics
  • Robotics

Background:

  • The
  • new view on grasping
  • proposed a novel approach to model human grasping movements.
  • This model simplifies grasping by relating it to single-digit movements.
  • Occam's razor was applied to minimize complexity while maximizing explanatory power.

Purpose of the Study:

  • To re-evaluate the validity and predictive power of the proposed
  • new view on grasping
  • model.
  • To assess the support for the underlying assumptions regarding fingertip control during grasping.
  • To compare the performance of the minimum jerk model implementation against recent experimental data.

Main Methods:

  • Formulating three core assumptions to model grasping akin to single-digit movements.
  • Implementing the minimum jerk model based on these assumptions.
  • Evaluating the model's predictions against recent experimental findings on reach-to-grasp actions.

Main Results:

  • Experimental data provide substantial support for the assumption that fingertip movement in reach-to-grasp actions is controlled similarly to other object interaction movements.
  • The minimum jerk model implementation yielded accurate predictions in numerous scenarios.
  • Despite some inaccuracies, the model's performance was not surpassed by more complex alternatives.

Conclusions:

  • The proposed model, grounded in single-digit movement principles, offers a robust framework for understanding grasping.
  • The minimum jerk model, when applied with the derived assumptions, provides a parsimonious and effective description of grasping.
  • This approach currently represents the most effective description of grasping, balancing accuracy and simplicity.