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    Comparative Evaluation of Sensor Devices for Micro-Gestures

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    Date
    2017
    Author
    Simmons, H.
    Devi, R.
    Ens, Barrett
    Billinghurst, Mark ORCID
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    Abstract
    This paper presents a comparative evaluation of two hand gesture recognition sensors and their ability to detect small, sub millimeter movement. We explore the capabilities of these devices by testing if users can reliably use the sensors to select a simple user interface element in 1D space using three distinct gestures a small movement of the thumb and forefinger representing a slider, the slightly larger movement of moving a finger up and down and a large gesture of moving the whole hand up and down. Results of our preliminary study reveal that the palm provides the fastest and most reliable input. While not conclusive, data from our initial study indicates that the Leap sensor provides lower error, difficulty and fatigue than the Soli sensor with our test gesture set.
    BibTeX
    @inproceedings {10.2312:egve.20171375,
    booktitle = {ICAT-EGVE 2017 - Posters and Demos},
    editor = {Tony Huang and Arindam Dey},
    title = {{Comparative Evaluation of Sensor Devices for Micro-Gestures}},
    author = {Simmons, H. and Devi, R. and Ens, Barrett and Billinghurst, Mark},
    year = {2017},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-052-9},
    DOI = {10.2312/egve.20171375}
    }
    URI
    http://dx.doi.org/10.2312/egve.20171375
    https://diglib.eg.org:443/handle/10.2312/egve20171375
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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