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Towards the design of augmented feedforward and feedback for sensorimotor learning of motor skills
Author(s) -
Paraskevi Kritopoulou,
Sotiris Manitsaris,
Fabien Moutarde
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2948910.2948959
Subject(s) - computer science , gesture , human–computer interaction , feed forward , task (project management) , mistake , object (grammar) , distraction , projection (relational algebra) , artificial intelligence , path (computing) , computer vision , psychology , control engineering , engineering , cognitive psychology , systems engineering , algorithm , law , political science , programming language
International audienceCreating a digital metaphor of the “in person transmission” of manual-crafting motor skills, is an extremely complicated and challenging task. We are aiming to achieve the above by creating a mixed reality environment, supported by an interactive system for sensorimotor learning that relies onpathing techniques. The gestural instruction of a person, the Learner, arises from the reference gesture of an Expert. The concept of the system is based on the simple idea of guiding with the projection of a gesture depicting path in 2D space and in real time. The path is projected either as a feedforward that describes the gesture that has to be executed next, either as a feedback that amends the gesture while taking into account the time needed to correct the mistake. This projection takes place in the exact area where the object lies and the Learner is being trained, to avoid any distraction from the crafting task

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