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Hydrauio: Extending Interaction Space on the Pen through Hydraulic Sensing and Haptic Output

Published: 20 October 2020 Publication History

Abstract

We have explored a fluid-based interface(Hydrauio) on the pen body to extend interaction space of human-pen interaction. Users could perform finger gestures on the pen for input and also receive haptic feedback of different profiles from the fluid surface. The user studies showed that Hydrauio could achieve an accuracy of more than 92% for finger gesture recognition and users could distinguish different haptic profiles with an accuracy of more than 95%. Finally, we present application scenarios to demonstrate the potential of Hydrauio to extend interaction space of human-pen interaction.

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References

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Cited By

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  • (2022)Sign H3re: Symbol and X-Mark Writer Identification Using Audio and Motion Data from a Digital PenProceedings of Mensch und Computer 202210.1145/3543758.3543764(209-218)Online publication date: 4-Sep-2022

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    Published In

    cover image ACM Conferences
    UIST '20 Adjunct: Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology
    October 2020
    203 pages
    ISBN:9781450375153
    DOI:10.1145/3379350
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 20 October 2020

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    Author Tags

    1. finger gesture sensing
    2. fluid-based interface
    3. haptic feedback
    4. human-pen interaction

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    Overall Acceptance Rate 355 of 1,733 submissions, 20%

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    The 38th Annual ACM Symposium on User Interface Software and Technology
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    View all
    • (2022)Sign H3re: Symbol and X-Mark Writer Identification Using Audio and Motion Data from a Digital PenProceedings of Mensch und Computer 202210.1145/3543758.3543764(209-218)Online publication date: 4-Sep-2022

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