• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.390-390
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• 2000

This research is the development of a skin-type tactile sensor for service robot using PVDF film for the detection of the contact state. The Prototype of the tactile sensor which has 8$\times$8 taxels was fabricated using PVDF film In the fabrication procedure of the sensor, the electrode patterns and common electrode of the thin conductive tape were attached to the both side of the 28 micro meter thickness PVDF film using conductive adhesive. The sensor was covered with polyester film for insulation and attached to the rubber base for making stable structure. The signals of a contact pressure to the tactile sensor were sensed and processed in the DSP system in which the signals were digitized and filtered. Finally, the signals were integrated for taking the force profile. The processed signals of the output of the sensor were visualized in PC, the shape and force distribution of the contact object were obtained. The reasonable performance for the detection of contact state was verified through the experiment.

• 제어로봇시스템학회논문지
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• 제17권3호
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• pp.229-235
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• 2011

To make a robust object tracking and identifying system for an intelligent robot and/or home system, heterogeneous sensor fusion between visible ray system and infrared ray system is proposed. The proposed system separates the object by combining the ROI (Region of Interest) estimated from two different images based on a heterogeneous sensor that consolidates the ordinary CCD camera and the IR (Infrared) camera. Human's body and face are detected in both images by using different algorithms, such as histogram, optical-flow, skin-color model and Haar model. Also the pose of human body is estimated from the result of body detection in IR image by using PCA algorithm along with AdaBoost algorithm. Then, the results from each detection algorithm are fused to extract the best detection result. To verify the heterogeneous sensor fusion system, few experiments were done in various environments. From the experimental results, the system seems to have good tracking and identification performance regardless of the environmental changes. The application area of the proposed system is not limited to robot or home system but the surveillance system and military system.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권8호
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• pp.374-379
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• 2002

In this study, we developed a new human arm movement detection system using electrical bio-impedance method with several skin-electrodes. The correlation coefficients of the joint angle and the impedance change from human arm movement was obtained using a goniometer and impedance measurement system developed in this study. The correlation coefficients of the wrist and the elbow movements were 0.94 and -0.99, respectively. This system was applied to control a robotic arm by converting the measured impedance to joint angle to confirm the validity of the proposed system. In conclusion, we confirmed that this system can control the robotic arm according to arm movement without any limitation of movement. This system showed possibility that upper arm movement could be easily measured by impedance measurement system with a few skin-electrodes.

• 한국컴퓨터정보학회논문지
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• 제18권11호
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• pp.167-174
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• 2013

본 논문에서는 컬러 영상에서 얼굴을 추적하는 시스템을 구현하였다. 얼굴 추적은 영상 내에 존재하는 얼굴 영역을 컴퓨터의 기능을 이용하여 찾아내는 작업으로 로봇 시각 시스템 등에 필요한 기능이다. 그러나 입력되는 영상에 존재하는 피부색 범위 화소추출과 같은 단순한 수행으로는 얼굴 추적에 어려움이 있다. 피부색은 빛의 조건에 의해 다른 색으로 표현될 뿐 아니라 피부색은 얼굴 뿐 아니라 손과 발 등 다양한 곳에 존재하기 때문에 얼굴을 추적하기 위한 다른 조치가 필요하다. 본 논문에서는 피부색 추출을 위한 함수를 사용하되 효율 향상을 위한 조명 보정을 수행하였고 또 피부색 범위 내에서 추출된 피부색 블록에서 눈 코 입의 특징을 찾아 얼굴로 확정하는 전 과정을 수행하는 시스템을 구현하였다. 제안된 조명 보정은 피부색 추출에 초점을 맞추어 변형 sine 함수로 인간 시각에는 도움이 되지 않더라도 피부색 추출에는 약4% 정도의 개선을 보였으며, 얼굴의 특징들의 추출에는 다양한 색 공간에서 다양한 표현 값들을 증폭하거나 축소, 대비시킴으로서 얼굴 특징들을 추출되게 하여 얼굴로 판단하여 얼굴 추적을 하여, 얼굴이 잘 추적되게 하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.1748-1751
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• 1991

Generally, we can't acquire clear boundary or area from an image having obscure boundary like allergy image by using Sobel or Lapalace operator. Also, when the image not uniform in some part of a image in brightness, there are difficulties to use the global operator such as histogram, for the contour line doesn't have the same grey level. In this paper, we will propose an algorithm to improve those difficulties. The main idea of the algorithm is that we divide the image into many rectangular parts like a chess board, calculate the average of each part, and decide the local threshold for each pixel on the calculated value. In experiment, we can get the contour and area by this algorithm which is much like to the contour and area measured by a doctor. Also, This algorithm has many advantages such as short processing time and little influences of noises and can be used in the robot vision, etc..

• 제어로봇시스템학회논문지
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• 제15권4호
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• pp.379-384
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• 2009

A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of $-90^{\circ}{\sim}90^{\circ}$ and tilt range of $-40^{\circ}{\sim}70^{\circ}$ with intervals unit of $10^{\circ}$ were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.184-186
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• 2007

Currently many sensors and processing data in a robot based on USN environments need to real-time features. In this paper, we examine recent research trends on real-time operating systems, especially on real-time embedded Linux, RTAI and Xenomai, for intelligent robots. Xenomai is a real-time development framework and have special feature supporting RTAI, VxWorks, pSOS+ etc. through the "skin". This research gives a guide to researcher in using real-time embedded Linux in the sense of architecture, supporting real-time mechanisms, kinds of real-time device driver, performances.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2930-2932
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• 2000

In this paper. a robust gesture recognition system is designed and implemented to explore the communication methods between human and computer. Hand gestures in the proposed approach are used to communicate with a computer for actions of a high degree of freedom. The user does not need to wear any cumbersome devices like cyber-gloves. No assumption is made on whether the user is wearing any ornaments and whether the user is using the left or right hand gestures. Image segmentation based upon the skin-color and a shape analysis based upon the invariant moments are combined. The features are extracted and used for input vectors to a radial basis function networks(RBFN). Our "Puppy" robot is employed as a testbed. Preliminary results on a set of gestures show recognition rates of about 87% on the a real-time implementation.

• Journal of Biosystems Engineering
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• 제30권5호
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• pp.299-305
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• 2005

This study was developed image processing algorithm for recognition of few teats of a cow in the image using black and white camera attached with infrared filter. Spectroscopic analysis was used for selection of a NIR filter to separate teats from udder skin in the image captured. To verify the performance of image processing algorithm was developed and NIR filter was selected, carried out an experiment with cows. NIR band-pass filter was used to pass the 975nm band of light spectrum. The image processing algorithm was developed could recognize all teats and the process time was 0.9 second to recognize the all teats and to acquire end position of teats.

• 한국정밀공학회지
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• 제21권9호
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• pp.21-25
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• 2004

최근 국가의 10대 신성장 동력산업에 포함 되어 있는 RT(robot technology)는 향후 포스트 반도체산업의 중요한 산업으로 국내 경제를 활성화 시키는 원동력이 될 것으로 전망된다. 이와 더불어 향후에는 현재의 산업용 로봇이 아닌 감각과 지능을 가진 인간친화적인 로봇이 출현할 것으로 기대된다. 즉 주변 환경을 인지하여 정보를 획득하고 지능적 판단, 행위 및 상호작용을 통하여 인간을 지원하는 지능형 로봇은 인간과의 상호작용을 통하여 감성을 이해하며 서비스 제공, 인간의 동작이나 작업을 지원 그리고 위험작업 수행, 인간이 불가능한 작업을 대신 할 수 있을 것이다. (중략)