• Title/Summary/Keyword: 비접촉 사용자 인터페이스

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Prospect of Non-Touch User Interface Technique (비접촉식 동작인식 기반 사용자 인터페이스 기술 전망)

  • Kim, Soo-Kyun;Sung, Kyung
    • Journal of Advanced Navigation Technology
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    • v.18 no.3
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    • pp.242-247
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    • 2014
  • The advancement of touch user interface technology is mostly due to the debut and success of the new user experience (UX), the iPhone. The introduction of Apple's iPhone especially made possible for the user experience to break away from the traditional input device of the mouse and keyboard. It is advancing from the current 3rd generation touch interface technology into the 4th generation non-touch user interface technology. This paper will present a non-touch interaction technology that allows interaction in a three dimensional setting through 3-D space touch. It will analyze current technologies and future emerging technologies.

Multi - Modal Interface Design for Non - Touch Gesture Based 3D Sculpting Task (비접촉식 제스처 기반 3D 조형 태스크를 위한 다중 모달리티 인터페이스 디자인 연구)

  • Son, Minji;Yoo, Seung Hun
    • Design Convergence Study
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    • v.16 no.5
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    • pp.177-190
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    • 2017
  • This research aims to suggest a multimodal non-touch gesture interface design to improve the usability of 3D sculpting task. The task and procedure of design sculpting of users were analyzed across multiple circumstances from the physical sculpting to computer software. The optimal body posture, design process, work environment, gesture-task relationship, the combination of natural hand gesture and arm movement of designers were defined. The preliminary non-touch 3D S/W were also observed and natural gesture interaction, visual metaphor of UI and affordance for behavior guide were also designed. The prototype of gesture based 3D sculpting system were developed for validation of intuitiveness and learnability in comparison to the current S/W. The suggested gestures were proved with higher performance as a result in terms of understandability, memorability and error rate. Result of the research showed that the gesture interface design for productivity system should reflect the natural experience of users in previous work domain and provide appropriate visual - behavioral metaphor.

Touchless User Interface Based on Pattern Analysis (패턴 분석 기반의 비접촉 사용자 인터페이스 기법)

  • Jang, Won-Dong;Jung, Il-Lyong;Kim, Chang-Su
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.11a
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    • pp.309-310
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    • 2010
  • 본 논문에서는 패턴 분석 기반의 비접촉 사용자 인터페이스 제어 기법을 제안한다. 본 기법은 카메라가 장착된 기기에서 입력 받은 실시간 영상을 사용하여 패턴의 정보를 분석한다. 정의된 패턴을 기반으로 최초의 패턴 위치를 예측하고, 특징점 추출 기반 추적 기법을 통해 패턴의 위치를 갱신한다. 휴대용 기기의 다양한 사용 환경에 적합하도록, 정규 상관 계수와 특징점 추출 정보를 사용하여 패턴의 예측, 추적을 수행함으로써 밝기 변화에 강인한 사용자 인터페이스 기법을 제안한다. 실험을 통하여 본 논문이 제안하는 알고리즘이 기존의 방법에 비해 우수한 성능을 나타냄을 확인한다.

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Visual Touchless User Interface for Window Manipulation (윈도우 제어를 위한 시각적 비접촉 사용자 인터페이스)

  • Kim, Jin-Woo;Jung, Kyung-Boo;Jeong, Seung-Do;Choi, Byung-Uk
    • Journal of KIISE:Software and Applications
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    • v.36 no.6
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    • pp.471-478
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    • 2009
  • Recently, researches for user interface are remarkably processed due to the explosive growth of 3-dimensional contents and applications, and the spread class of computer user. This paper proposes a novel method to manipulate windows efficiently using only the intuitive motion of hand. Previous methods have some drawbacks such as burden of expensive device, high complexity of gesture recognition, assistance of additional information using marker, and so on. To improve the defects, we propose a novel visual touchless interface. First, we detect hand region using hue channel in HSV color space to control window using hand. The distance transform method is applied to detect centroid of hand and curvature of hand contour is used to determine position of fingertips. Finally, by using the hand motion information, we recognize hand gesture as one of predefined seven motions. Recognized hand gesture is to be a command to control window. In the proposed method, user can manipulate windows with sense of depth in the real environment because the method adopts stereo camera. Intuitive manipulation is also available because the proposed method supports visual touch for the virtual object, which user want to manipulate, only using simple motions of hand. Finally, the efficiency of the proposed method is verified via an application based on our proposed interface.

비접촉식 3차원 사용자 인터페이스 기술 동향

  • Kim, Ik-Jae
    • Information and Communications Magazine
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    • v.29 no.7
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    • pp.31-37
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    • 2012
  • 본 고에서는 최근 들어 3차원 디스플레이의 빠른 보급과 실감 콘텐츠들의 생성이 용이해 짐에 따라, 3차원 공간에서 사용자와 시스템간의 보다 자연스러우면서 직관적인 상호작용을 위한 인터페이스에 대한 필요성이 증대되고 있는 있기에, 해당 기술의 동향에 대해서 알아보고자 한다.

Remote Image Monitoring System with Mobility Using Touchless User Interface (비접촉성 사용자 인터페이스를 통한 이동형 원격 영상 감시 시스템)

  • Ju, Donghun;Kang, Dohun;Kim, Kwangsu;Yim, Wontae;Lee, Sukho;Moon, Mikyeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.478-481
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    • 2013
  • a본 논문에서는 스마트폰에 내장된 카메라를 이용하여 원격지의 장면을 고해상도로 촬영한 영상을 실시간으로 감시할 수 있는 시스템을 제안한다. 이 시스템은 영상 촬영의 이동성을 주기 위해 다양한 가격과 종류로 출시되어 있는 무선조종자동차에 스마트폰을 탑재시킨다. 무선조종자동차의 원격 제어는 키넥트의 음성 및 제스처 인식 기능을 활용하여 비접촉성 제어입력이 가능하도록 사용자 인터페이스를 제공한다. 이 시스템은 손이나 몸짓이 불편한 환자 또는 작업 중인 작업자가 원격지의 영상을 보아야하는 경우 다양한 형태로 활용될 수 있을 것이다.

A Framework For Non-Touch Multi-Pointing Supporting Haptic Feedback (촉각 피드백 기반의 비접촉식 멀티-포인팅 프레임워크)

  • Kim, Hyun-Gon;Park, Jun-Seok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.489-492
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    • 2011
  • 최근 멀티-터치 디바이스에 대한 관심이 증가함에 따라서 멀티-터치 디바이스를 처리하는 시스템 프레임 워크도 같이 연구, 개발되고 있다. 본 논문에서는 기존의 멀티-터치 시스템 프레임워크와는 다른 촉각 피드백을 지원하는 비접촉식 멀티-포인팅 프레임워크에 대해서 소개할 것이다. 이 멀티 포인팅 프레임워크의 목적은 다수의 사용자가 다수의 디바이스를 이용하여, 시스템을 제어하고, 사용자의 입력에 따라서, 시스템으로부터 촉각 피드백을 받을 수 있는 소프트웨어적인 기본 환경을 제공하는 것이다. 이러한 멀티 포인팅 프레임워크를 구성하고 있는 각 파트에 대해서 살펴보고, 실제로 적용된 사례에 대해서 살펴보도록 한다.

Vision based Fast Hand Motion Recognition Method for an Untouchable User Interface of Smart Devices (스마트 기기의 비 접촉 사용자 인터페이스를 위한 비전 기반 고속 손동작 인식 기법)

  • Park, Jae Byung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.300-306
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    • 2012
  • In this paper, we propose a vision based hand motion recognition method for an untouchable user interface of smart devices. First, an original color image is converted into a gray scaled image and its spacial resolution is reduced, taking the small memory and low computational power of smart devices into consideration. For robust recognition of hand motions through separation of horizontal and vertical motions, the horizontal principal area (HPA) and the vertical principal area (VPA) are defined respectively. From the difference images of the consecutively obtained images, the center of gravity (CoG) of the significantly changed pixels caused by hand motions is obtained, and the direction of hand motion is detected by defining the least mean squared line for the CoG in time. For verifying the feasibility of the proposed method, the experiments are carried out with a vision system.

Technology Development for Non-Contact Interface of Multi-Region Classifier based on Context-Aware (상황 인식 기반 다중 영역 분류기 비접촉 인터페이스기술 개발)

  • Jin, Songguo;Rhee, Phill-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.175-182
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    • 2020
  • The non-contact eye tracking is a nonintrusive human-computer interface providing hands-free communications for people with severe disabilities. Recently. it is expected to do an important role in non-contact systems due to the recent coronavirus COVID-19, etc. This paper proposes a novel approach for an eye mouse using an eye tracking method based on a context-aware based AdaBoost multi-region classifier and ASSL algorithm. The conventional AdaBoost algorithm, however, cannot provide sufficiently reliable performance in face tracking for eye cursor pointing estimation, because it cannot take advantage of the spatial context relations among facial features. Therefore, we propose the eye-region context based AdaBoost multiple classifier for the efficient non-contact gaze tracking and mouse implementation. The proposed method detects, tracks, and aggregates various eye features to evaluate the gaze and adjusts active and semi-supervised learning based on the on-screen cursor. The proposed system has been successfully employed in eye location, and it can also be used to detect and track eye features. This system controls the computer cursor along the user's gaze and it was postprocessing by applying Gaussian modeling to prevent shaking during the real-time tracking using Kalman filter. In this system, target objects were randomly generated and the eye tracking performance was analyzed according to the Fits law in real time. It is expected that the utilization of non-contact interfaces.