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An augmented multi-touch system using hand and finger identification

Published: 05 May 2012 Publication History

Abstract

With the advent of devices such as smart phones and tablet computers, multi-touch applications are rapidly becoming commonplace. However, existing multi-touch sensors are not able to report which finger, or which hand, is responsible for each of the touches. To overcome this deficiency we introduce a multi-touch system that is capable of identifying the finger and hand corresponding to each touch. The system consists of a commercially available capacitive multi-touch display augmented with an infrared depth camera mounted above the surface of the display. We performed a user study to measure the accuracy of the system and found that our algorithm was correct on 92.7% of the trials.

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  • (2022)Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch ScreensHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22723-8_5(55-71)Online publication date: 10-Mar-2022
  • (2014)AdoiraccourcixProceedings of the 26th Conference on l'Interaction Homme-Machine10.1145/2670444.2670446(28-37)Online publication date: 28-Oct-2014

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  1. An augmented multi-touch system using hand and finger identification

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    cover image ACM Conferences
    CHI EA '12: CHI '12 Extended Abstracts on Human Factors in Computing Systems
    May 2012
    2864 pages
    ISBN:9781450310161
    DOI:10.1145/2212776

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 05 May 2012

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    Author Tags

    1. camera-based interaction
    2. finger identification
    3. hand tracking
    4. multitouch
    5. user interfaces

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    • (2022)Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch ScreensHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22723-8_5(55-71)Online publication date: 10-Mar-2022
    • (2014)AdoiraccourcixProceedings of the 26th Conference on l'Interaction Homme-Machine10.1145/2670444.2670446(28-37)Online publication date: 28-Oct-2014

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