• Title/Summary/Keyword: Camera mouse

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The latest study tendency in mouse model of skin pruritus - Mainly on scratching behavior model (피부 소양 마우스 모델의 최근 연구 동향 -Scratching behavior model을 중심으로)

  • Kim, Keoo-Seok;Kim, Yoon-Bum
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.20 no.2 s.33
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    • pp.142-150
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    • 2007
  • Objectives : This study was carried out to investigate the latest study tendency in mouse model of skin pruritus published since 2005 and to arrange various experimental methods. Methods : We examined the journal(such as Experimental dermatology and British journal of dermatology) and in Pubmed since 2005, regarded pruritus and scratching behavior model as key words. Results and Conclusion : 1. BALB/c, hairless, NC/Nga and ICR mice were the most used in scratching behavior model. According to scratching-induced agents. we need to select experimental mice. 2. There are various methods inducing skin pruritus; by cohabitation with NC/Nga mice having severe skin lesions, by injection intradermally(or subcutaneously) with agent inducing inflammation, by inducing contact dermatitis with TNCB, TNFB, destruction of skin barrier and by transgenic mice. 3. Injection intradermally(or subcutaneously) with agent inducing inflammation is the most used out of methods inducing skin pruritus. Compound 48/80, histamine, substance P and others(chloroquine, serotonin, carrageenin, TPA etc.) were included in agents inducing inflammation and pruritus in skin pruritus model. 4. Video camera, SCLABA system, MicroAct and acoustic evaluation system were included in evaluation methods of scratching behavior mouse model.

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Emotion Recognition by Vision System (비젼에 의한 감성인식)

  • 이상윤;오재흥;주영훈;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.203-207
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    • 2001
  • In this Paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using CCD color image. To do this, we first acquire the color image from the CCD camera, and then propose the method for recognizing the expression to be represented the structural correlation of man's feature Points(eyebrows, eye, nose, mouse) It is central technology that the Process of extract, separate and recognize correct data in the image. for representation is expressed by structural corelation of human's feature Points In the Proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Had separated complexion area using color-difference of color space by method that have separated background and human's face toughly to change such as external illumination in this paper. For this, we propose an algorithm to extract four feature Points from the face image acquired by the color CCD camera and find normalization face picture and some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector. Finally, we show the Practical application possibility of the proposed method.

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Motion based interaction techique for a camera-tracked laser pointer system (카메라 추적 기반 레이저 포인터 시스템을 위한 동작 기반 상호작용 기술)

  • Ahn, Sang-Mahn;Lim, Jong-Gwan;Kwon, Dong-Soo
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.257-261
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    • 2008
  • In this paper, intuitive interactions compatible with various software and replaceable with the conventional mouse function are proposed for camera-tracked laser pointer system. For this purpose, this paper designs the motion based interaction using acceleration information from a new laser pointer with 3-axes accelerometer and shows its usability.

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Targeting Orthotopic Glioma in Mice with Genetically Engineered Salmonella typhimurium

  • Wen, Min;Jung, Shin;Moon, Kyung-Sub;Jiang, Shen Nan;Li, Song-Yuan;Min, Jung-Joon
    • Journal of Korean Neurosurgical Society
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    • v.55 no.3
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    • pp.131-135
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    • 2014
  • Objective : With the growing interests of bacteria as a targeting vector for cancer treatment, diverse genetically engineered Salmonella has been reported to be capable of targeting primary or metastatic tumor regions after intravenous injection into mouse tumor models. The purpose of this study was to investigate the capability of the genetically engineered Salmonella typhimurium (S. typhimurium) to access the glioma xenograft, which was monitored in mouse brain tumor models using optical bioluminescence imaging technique. Methods : U87 malignant glioma cells (U87-MG) stably transfected with firefly luciferase (Fluc) were implanted into BALB/cAnN nude mice by stereotactic injection into the striatum. After tumor formation, attenuated S. typhimurium expressing bacterial luciferase (Lux) was injected into the tail vein. Bioluminescence signals from transfected cells or bacteria were monitored using a cooled charge-coupled device camera to identify the tumor location or to trace the bacterial migration. Immunofluorescence staining was also performed in frozen sections of mouse glioma xenograft. Results : The injected S. typhimurium exclusively localized in the glioma xenograft region of U87-MG-bearing mouse. Immunofluorescence staining also demonstrated the accumulation of S. typhimurium in the brain tumors. Conclusion : The present study demonstrated that S. typhimurium can target glioma xenograft, and may provide a potentially therapeutic probe for glioma.

Presentation Method Using Depth Information (깊이 정보를 이용한 프레젠테이션 방법)

  • Kim, Ho-Seung;Kwon, Soon-Kak
    • Journal of Broadcast Engineering
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    • v.18 no.3
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    • pp.409-415
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    • 2013
  • Recently, various equipments have been developed for convenience of presentations. Presentation equipments added the keyboard and mouse functions to laser pointer and devices have become main method. However these devices have demerits of limited action and a few events. In this paper, we propose a method which increases the degrees of freedom of presentation as the control of the hand by using a depth camera. The proposed method recognizes the horizontal and vertical positions of hand pointer and the distance between hand and camera from both depth and RGB cameras, then performs a presentation event as the location and pattern that the hand touches a screen. The simulation results show that a camera is fixed on left side of the screen, and nine presentation events is correctly performed.

Development of Camera Controller with Pointer Tracking Unit (카메라 컨트롤러를 이용한 포인터 추적 장치 개발)

  • Lee, Yong-hwan;Ju, Hyun-woong;Song, Sung-hae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.1 no.3
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    • pp.111-117
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    • 2008
  • Presentation with a projector and a laser pointer is widely used in seminar or conference. The function of a laser pointer in the presentation is just indicating a certain object. In this paper, to give a mouse-like function to a laser pointer, we implement a system that locates the track of a laser pointer. The system contains a FPGA that implements camera interface and noise filter. A software for ARM processor is programmed to analyze the spectrum of the captured image and track the pattern of a laser pointer with previously stored image. As a result, the tracking system could locate the position correctly most of time within 20m with 98% accuracy.

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Implementation of a Real Time Image Presentation System (실시간 영상 프리젠테이션 시스템 구현)

  • 이동희;이후성;양훈기
    • Proceedings of the IEEK Conference
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    • 2001.06d
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    • pp.191-194
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    • 2001
  • This paper presents a real-time implementation method of a laser pointer mouse system. This system consists of a camera, a FPGA circuits to track a laser footprint and RF module for communication between a laser pointer and the proposed system. We first simulate the system and realize the system by a FPGA circuit after implementing it by a VHDL.

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Emotion Recognition by CCD Color Image

  • Joo, Young-Hoon;Lee, Sang-Yoon;Oh, Jae-Heung;Sim, Kwee-Bo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.138.2-138
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    • 2001
  • This paper proposes the technique for recognizing the human´s emotion by using the CCD color image. To do this, we first acquire the color image from the CCD camera. And then propose the method for recognizing the expressing to be represented the structural correlation of man´s feature points(eyebrows, eye, nose, mouse), In the proposed method. Human´s emotion is divided into four emotion(surprise, anger, happiness, sadness). Finally, we have proven the effectiveness of the proposed method through the experimentation.

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Efficient Fingertip Tracking and Mouse Pointer Control for Implementation of a Human Mouse (휴먼마우스 구현을 위한 효율적인 손끝좌표 추적 및 마우스 포인트 제어기법)

  • 박지영;이준호
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.851-859
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    • 2002
  • This paper discusses the design of a working system that visually recognizes hand gestures for the control of a window based user interface. We present a method for tracking the fingertip of the index finger using a single camera. Our method is based on CAMSHIFT algorithm and performs better than the CAMSHIFT algorithm in that it tracks well particular hand poses used in the system in complex backgrounds. We describe how the location of the fingertip is mapped to a location on the monitor, and how it Is both necessary and possible to smooth the path of the fingertip location using a physical model of a mouse pointer. Our method is able to track in real time, yet not absorb a major share of computational resources. The performance of our system shows a great promise that we will be able to use this methodology to control computers in near future.

Virtual Navigation of Blood Vessels using 3D Curve-Skeletons (3차원 골격곡선을 이용한 가상혈관 탐색 방안)

  • Park, Sang-Jin;Park, Hyungjun
    • Korean Journal of Computational Design and Engineering
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    • v.22 no.1
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    • pp.89-99
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    • 2017
  • In order to make a virtual endoscopy system effective for exploring the interior of the 3D model of a human organ, it is necessary to generate an accurate navigation path located inside the 3D model and to obtain consistent camera position and pose estimation along the path. In this paper, we propose an approach to virtual navigation of blood vessels, which makes proper use of orthogonal contours and skeleton curves. The approach generates the orthogonal contours and the skeleton curves from the 3D mesh model and its voxel model, all of which represent the blood vessels. For a navigation zone specified by two nodes on the skeleton curves, it computes the shortest path between the two nodes, estimates the positions and poses of a virtual camera at the nodes in the navigation zone, and interpolates the positions and poses to make the camera move smoothly along the path. In addition to keyboard and mouse input, intuitive hand gestures determined by the Leap Motion SDK are used as user interface for virtual navigation of the blood vessels. The proposed approach provides easy and accurate means for the user to examine the interior of 3D blood vessels without any collisions between the camera and their surface. With a simple user study, we present illustrative examples of applying the approach to 3D mesh models of various blood vessels in order to show its quality and usefulness.