Large-scale dexterous haptic interaction with virtual mock-ups: Methodology and human performance
Identifieur interne : 003F78 ( Main/Exploration ); précédent : 003F77; suivant : 003F79Large-scale dexterous haptic interaction with virtual mock-ups: Methodology and human performance
Auteurs : Damien Chamaret [France] ; Paul Richard [France] ; Sehat Ullah [France]Source :
English descriptors
Abstract
We present a methodology for both the efficient integration and dexterous manipulation of CAD models in a physical-based virtual reality simulation. The user interacts with a virtual car mock-up using a string-based haptic interface that provides force sensation in a large workspace. A prop is used to provide grasp feedback. A mocap system is used to track user's hand and head movements. In addition a 5DT data-glove is used to measure finger flexion. Twelve volunteer participants were instructed to remove a lamp of the virtual mock-up under different conditions. Results revealed that haptic feedback was better than additional visual feedback in terms of task completion time and collision frequency.
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<front><div type="abstract" xml:lang="en">We present a methodology for both the efficient integration and dexterous manipulation of CAD models in a physical-based virtual reality simulation. The user interacts with a virtual car mock-up using a string-based haptic interface that provides force sensation in a large workspace. A prop is used to provide grasp feedback. A mocap system is used to track user's hand and head movements. In addition a 5DT data-glove is used to measure finger flexion. Twelve volunteer participants were instructed to remove a lamp of the virtual mock-up under different conditions. Results revealed that haptic feedback was better than additional visual feedback in terms of task completion time and collision frequency.</div>
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