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Bayesian model for reaching and grasping peripheral and occluded targets
Erik J. Schlicht,
Paul R. Schrater
Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
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Dive into the research topics of 'Bayesian model for reaching and grasping peripheral and occluded targets'. Together they form a unique fingerprint.
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Keyphrases
Bayesian Modeling
100%
Grip Aperture
100%
Peripheral Target
100%
Occluded Target
100%
Eye Position
80%
Visual Information
40%
Spatial Uncertainty
40%
Forward-viewing
40%
Eye Center
40%
Reaching Movements
20%
Coordinate Transformation
20%
Sensorimotor Adaptation
20%
Eccentricity
20%
Viewing Angle
20%
Visual System
20%
Modeling Effort
20%
Target Eccentricity
20%
Position Effect
20%
Aperture Function
20%
Engineering
Bayesian Model
100%
Eye Position
100%
Max
75%
Coordinate Transformation
25%
Aperture Function
25%
Computer Science
Target Location
100%
Bayesian Model
100%
Visual Informations
25%
Coordinate Transformation
12%
Aperture Function
12%
Psychology
Grasping
100%
Neuroscience
Position Effect
100%