Literature DB >> 24401711

Coordination between digit forces and positions: interactions between anticipatory and feedback control.

Qiushi Fu1, Marco Santello.   

Abstract

Humans adjust digit forces to compensate for trial-to-trial variability in digit placement during object manipulation, but the underlying control mechanisms remain to be determined. We hypothesized that such digit position/force coordination was achieved by both visually guided feed-forward planning and haptic-based feedback control. The question arises about the time course of the interaction between these two mechanisms. This was tested with a task in which subjects generated torque (± 70 N·mm) on a virtual object to control a cursor moving to target positions to catch a falling ball, using a virtual reality environment and haptic devices. The width of the virtual object was varied between large (L) and small (S). These object widths result in significantly different horizontal digit relative positions and require different digit forces to exert the same task torque. After training, subjects were tested with random sequences of L and S widths with or without visual information about object width. We found that visual cues allowed subjects to plan manipulation forces before contact. In contrast, when visual cues were not available to predict digit positions, subjects implemented a "default" digit force plan that was corrected after digit contact to eventually accomplish the task. The time course of digit forces revealed that force development was delayed in the absence of visual cues. Specifically, the appropriate digit force adjustments were made 250-300 ms after initial object contact. This result supports our hypothesis and further reveals that haptic feedback alone is sufficient to implement digit force-position coordination.

Entities:  

Keywords:  feed-forward control; haptic feedback; manipulation; virtual reality; vision

Mesh:

Year:  2014        PMID: 24401711     DOI: 10.1152/jn.00754.2013

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  11 in total

1.  Neural Representations of Sensorimotor Memory- and Digit Position-Based Load Force Adjustments Before the Onset of Dexterous Object Manipulation.

Authors:  Michelle Marneweck; Deborah A Barany; Marco Santello; Scott T Grafton
Journal:  J Neurosci       Date:  2018-04-23       Impact factor: 6.167

2.  Predictability, force, and (anti)resonance in complex object control.

Authors:  Pauline Maurice; Neville Hogan; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2018-04-18       Impact factor: 2.714

Review 3.  Predictability and Robustness in the Manipulation of Dynamically Complex Objects.

Authors:  Dagmar Sternad; Christopher J Hasson
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

4.  Stability and predictability in human control of complex objects.

Authors:  Salah Bazzi; Julia Ebert; Neville Hogan; Dagmar Sternad
Journal:  Chaos       Date:  2018-10       Impact factor: 3.642

5.  Human control of complex objects: Towards more dexterous robots.

Authors:  Salah Bazzi; Dagmar Sternad
Journal:  Adv Robot       Date:  2020-06-16       Impact factor: 1.699

6.  Digit Position and Forces Covary during Anticipatory Control of Whole-Hand Manipulation.

Authors:  Michelle Marneweck; Trevor Lee-Miller; Marco Santello; Andrew M Gordon
Journal:  Front Hum Neurosci       Date:  2016-09-15       Impact factor: 3.169

7.  Transfer and generalization of learned manipulation between unimanual and bimanual tasks.

Authors:  Trevor Lee-Miller; Marco Santello; Andrew M Gordon
Journal:  Sci Rep       Date:  2021-04-22       Impact factor: 4.379

8.  Preparing to move: Setting initial conditions to simplify interactions with complex objects.

Authors:  Rashida Nayeem; Salah Bazzi; Mohsen Sadeghi; Neville Hogan; Dagmar Sternad
Journal:  PLoS Comput Biol       Date:  2021-12-17       Impact factor: 4.475

9.  Anticipatory Motor Planning and Control of Grasp in Children with Unilateral Spastic Cerebral Palsy.

Authors:  Jennifer Gutterman; Trevor Lee-Miller; Kathleen M Friel; Katherine Dimitropoulou; Andrew M Gordon
Journal:  Brain Sci       Date:  2021-08-31

Review 10.  On neuromechanical approaches for the study of biological and robotic grasp and manipulation.

Authors:  Francisco J Valero-Cuevas; Marco Santello
Journal:  J Neuroeng Rehabil       Date:  2017-10-09       Impact factor: 4.262

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