• Title/Summary/Keyword: Finger end point detection

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Image Processing Based Virtual Reality Input Method using Gesture (영상처리 기반의 제스처를 이용한 가상현실 입력기)

  • Hong, Dong-Gyun;Cheon, Mi-Hyeon;Lee, Donghwa
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.5
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    • pp.129-137
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    • 2019
  • Ubiquitous computing technology is emerging as information technology advances. In line with this, a number of studies are being carried out to increase device miniaturization and user convenience. Some of the proposed devices are user-friendly and uncomfortable with hand-held operation. To address these inconveniences, this paper proposed a virtual button that could be used in watching television. When watching a video on television, a camera is installed at the top of the TV, using the fact that the user watches the video from the front, so that the camera takes a picture of the top of the head. Extract the background and hand area separately from the filmed image, extract the outline to the extracted hand area, and detect the tip point of the finger. Detection of the end point of the finger produces a virtual button interface at the top of the image being filmed in front, and the button activates when the end point of the detected finger becomes a pointer and is located inside the button.

Vision and Depth Information based Real-time Hand Interface Method Using Finger Joint Estimation (손가락 마디 추정을 이용한 비전 및 깊이 정보 기반 손 인터페이스 방법)

  • Park, Kiseo;Lee, Daeho;Park, Youngtae
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.157-163
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    • 2013
  • In this paper, we propose a vision and depth information based real-time hand gesture interface method using finger joint estimation. For this, the areas of left and right hands are segmented after mapping of the visual image and depth information image, and labeling and boundary noise removal is performed. Then, the centroid point and rotation angle of each hand area are calculated. Afterwards, a circle is expanded at following pattern from a centroid point of the hand to detect joint points and end points of the finger by obtaining the midway points of the hand boundary crossing and the hand model is recognized. Experimental results that our method enabled fingertip distinction and recognized various hand gestures fast and accurately. As a result of the experiment on various hand poses with the hidden fingers using both hands, the accuracy showed over 90% and the performance indicated over 25 fps. The proposed method can be used as a without contacts input interface in HCI control, education, and game applications.