• Title/Summary/Keyword: NUI/NUX 프레임워크

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NUI/NUX framework based on intuitive hand motion (직관적인 핸드 모션에 기반한 NUI/NUX 프레임워크)

  • Lee, Gwanghyung;Shin, Dongkyoo;Shin, Dongil
    • Journal of Internet Computing and Services
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    • v.15 no.3
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    • pp.11-19
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    • 2014
  • The natural user interface/experience (NUI/NUX) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. Up to now, typical motion recognition methods used markers to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. But, to recognize accurate motion, more markers are needed and much time is taken in attaching makers and processing the data. Also, as NUI/NUX framework being developed except for the most important intuition, problems for use arise and are forced for users to learn many NUI/NUX framework usages. To compensate for this problem in this paper, we didn't use markers and implemented for anyone to handle it. Also, we designed multi-modal NUI/NUX framework controlling voice, body motion, and facial expression simultaneously, and proposed a new algorithm of mouse operation by recognizing intuitive hand gesture and mapping it on the monitor. We implement it for user to handle the "hand mouse" operation easily and intuitively.

Multi-sensor based NUI/NUX framework for various interactive applications (다양한 상호작용 어플리케이션을 위한 이종 센서 NUI/NUX 프레임워크)

  • Zhang, Weiqiang;Xi, Yulong;Wen, Mingyun;Cho, Seoungjae;Chae, Jeongsook;Kim, Junoh;Um, Kyhyun;Cho, Kungeun
    • Annual Conference of KIPS
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    • 2017.04a
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    • pp.1077-1078
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    • 2017
  • In this study, we implement a natural user interface/experience framework using multi-sensors: Microsoft Kinect, Leap Motion, and Myo Armband. The framework is designed for customers to use in various types of interactive applications. We integrate the functions of three sensors into an application and provide an interface for customers, who can use it to interact with a computer easily. The framework can track body information in real-time, and accurately recognize the motion of different body parts.