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    Partial Finger Involvement Reflects into Grasping Tasks Performance and Accuracy

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    Date
    2020
    Author
    Boban, Loën
    Delahaye, Mathias
    Boulic, Ronan
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    Abstract
    This paper presents a user study comparing a grasping algorithm we adapted for the Valve Index controller to common grasping approaches using the HTC Vive Wand or the Oculus Quest's Computer Vision-based finger tracking. It involved 24 participants performing two widely known manipulation tasks for each device: "Pick and Place" and "Grab and Reorient". Our results place our Index Controller approach as a good trade-off between the other two approaches regarding completion time and accuracy.
    BibTeX
    @inproceedings {ve.20201271,
    booktitle = {ICAT-EGVE 2020 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos},
    editor = {Kulik, Alexander and Sra, Misha and Kim, Kangsoo and Seo, Byung-Kuk},
    title = {{Partial Finger Involvement Reflects into Grasping Tasks Performance and Accuracy}},
    author = {Boban, Loën and Delahaye, Mathias and Boulic, Ronan},
    year = {2020},
    publisher = {The Eurographics Association},
    ISSN = {1727-530X},
    ISBN = {978-3-03868-112-0},
    DOI = {10.2312/egve.20201271}
    }
    URI
    https://doi.org/10.2312/egve.20201271
    https://diglib.eg.org:443/handle/10.2312/egve20201271
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    Eurographics Association copyright © 2013 - 2020 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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