Literature DB >> 34787684

Eye-hand coordination: memory-guided grasping during obstacle avoidance.

Hana H Abbas1, Ryan W Langridge2, Jonathan J Marotta2.   

Abstract

When reaching to grasp previously seen, now out-of-view objects, we rely on stored perceptual representations to guide our actions, likely encoded by the ventral visual stream. So-called memory-guided actions are numerous in daily life, for instance, as we reach to grasp a coffee cup hidden behind our morning newspaper. Little research has examined obstacle avoidance during memory-guided grasping, though it is possible obstacles with increased perceptual salience will provoke exacerbated avoidance maneuvers, like exaggerated deviations in eye and hand position away from obtrusive obstacles. We examined the obstacle avoidance strategies adopted as subjects reached to grasp a 3D target object under visually-guided (closed loop or open loop with full vision prior to movement onset) and memory-guided (short- or long-delay) conditions. On any given trial, subjects reached between a pair of flanker obstacles to grasp a target object. The positions and widths of the obstacles were manipulated, though their inner edges remained a constant distance apart. While reach and grasp behavior was consistent with the obstacle avoidance literature, in that reach, grasp, and gaze positions were biased away from obstacles most obtrusive to the reaching hand, our results reveal distinctive avoidance approaches undertaken depend on the availability of visual feedback. Contrary to expectation, we found subjects reaching to grasp after a long delay in the absence of visual feedback failed to modify their final fixation and grasp positions to accommodate the different positions of obstacles, demonstrating a more moderate, rather than exaggerative, obstacle avoidance strategy.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Delayed reaching; Eye–hand coordination; Grasping; Obstacle avoidance

Mesh:

Year:  2021        PMID: 34787684     DOI: 10.1007/s00221-021-06271-w

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  51 in total

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Journal:  Exp Brain Res       Date:  2011-05-20       Impact factor: 1.972

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Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

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Authors:  Anne-Marie Brouwer; David C Knill
Journal:  J Vis       Date:  2009-01-21       Impact factor: 2.240

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Authors:  Craig S Chapman; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2009-12-30       Impact factor: 1.972

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Authors:  Craig S Chapman; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2008-08-21       Impact factor: 1.972

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