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Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware

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Abstract

Human-Computer Interaction (HCI) exists ubiquitously in our daily lives. It is usually achieved by using a physical controller such as a mouse, keyboard or touch screen. It hinders Natural User Interface (NUI) as there is a strong barrier between the user and computer. There are various hand tracking systems available on the market, but they are complex and expensive. In this paper, we present the design and development of a robust marker-less hand/finger tracking and gesture recognition system using low-cost hardware. We propose a simple but efficient method that allows robust and fast hand tracking despite complex background and motion blur. Our system is able to translate the detected hands or gestures into different functional inputs and interfaces with other applications via several methods. It enables intuitive HCI and interactive motion gaming. We also developed sample applications that can utilize the inputs from the hand tracking system. Our results show that an intuitive HCI and motion gaming system can be achieved with minimum hardware requirements.

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Acknowledgments

This work was supported in part by the National Research Foundation of Korea under Grant 2011-0009349. The authors wish to thank Mr. Dylan Zhu for the language editing. Thanks are also due to all reviewers for their comments and recommendations, which have greatly improved the manuscript.

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Authors and Affiliations

  1. Department of Ubiquitous IT, Dongseo University, 617-716, Busan, Korea

    Hui-Shyong Yeo

  2. Department of Visual Contents, Dongseo University, 617-716, Busan, Korea

    Byung-Gook Lee

  3. Division of Computer and Information Engineering, Dongseo University, 617-716, Busan, Korea

    Hyotaek Lim

Authors
  1. Hui-Shyong Yeo
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  2. Byung-Gook Lee
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  3. Hyotaek Lim
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Correspondence to Hyotaek Lim.

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Yeo, HS., Lee, BG. & Lim, H. Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware. Multimed Tools Appl 74, 2687–2715 (2015). https://doi.org/10.1007/s11042-013-1501-1

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