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Enabling Finger-Gesture Interaction with Kinect

Published: 24 August 2015 Publication History

Abstract

A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game.

References

[1]
Osunkoya T, Chern JC. 2013. Gesture-based human-computer-interaction using kinect for windows mouse control and powerpoint presentation. In Proc. The 46th Midwest instruction and computing symposium (MICS2013). Wisconsin, 2013.
[2]
Han, J., Shao, L., Xu, D., and Shotton, J. 2013. Enhanced computing vision with Microsoft Kinect sensor: a review. IEEE Transactions on cybernetics, 43(5), pp. 2168--2267.
[3]
Mutha, S., and Kinage, K. S. 2015. Study on Hand Gesture Recognition. International Journal of Computer Science and Mobile Computing, 4(1), pp. 51--57.
[4]
Jaegers, K. (2010). XNA 4.0 game development by example. Birmingham: PACKT Publishing.
[5]
Abutsidze, Z., & Cowan, R. (2013). Showing or telling? Local interaction and organization of behavior. Journal of Economic Interaction and Coordination, 9(2), pp. 151--181

Cited By

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  • (2020)A Comparative Study of Hand-Gesture Recognition Devices for GamesHuman-Computer Interaction. Multimodal and Natural Interaction10.1007/978-3-030-49062-1_4(57-76)Online publication date: 10-Jul-2020
  • (2019)A Comparative Study of Hand Gesture Recognition Devices in the Context of Game DesignProceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces10.1145/3343055.3360758(397-402)Online publication date: 10-Nov-2019

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  1. Enabling Finger-Gesture Interaction with Kinect

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    Published In

    cover image ACM Other conferences
    VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction
    August 2015
    185 pages
    ISBN:9781450334822
    DOI:10.1145/2801040
    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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 August 2015

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    Author Tags

    1. Finger Interaction
    2. Gesture Recognition
    3. Kinect
    4. Natural User Interaction

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    VINCI '15

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    VINCI '15 Paper Acceptance Rate 12 of 32 submissions, 38%;
    Overall Acceptance Rate 71 of 193 submissions, 37%

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    Cited By

    View all
    • (2020)A Comparative Study of Hand-Gesture Recognition Devices for GamesHuman-Computer Interaction. Multimodal and Natural Interaction10.1007/978-3-030-49062-1_4(57-76)Online publication date: 10-Jul-2020
    • (2019)A Comparative Study of Hand Gesture Recognition Devices in the Context of Game DesignProceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces10.1145/3343055.3360758(397-402)Online publication date: 10-Nov-2019

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