• Title/Summary/Keyword: eye recognition

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Implementation of Driver Fatigue Monitoring System (운전자 졸음 인식 시스템 구현)

  • Choi, Jin-Mo;Song, Hyok;Park, Sang-Hyun;Lee, Chul-Dong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.8C
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    • pp.711-720
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    • 2012
  • In this paper, we introduce the implementation of driver fatigue monitering system and its result. Input video device is selected commercially available web-cam camera. Haar transform is used to face detection and adopted illumination normalization is used for arbitrary illumination conditions. Facial image through illumination normalization is extracted using Haar face features easily. Eye candidate area through illumination normalization can be reduced by anthropometric measurement and eye detection is performed by PCA and Circle Mask mixture model. This methods achieve robust eye detection on arbitrary illumination changing conditions. Drowsiness state is determined by the level on illumination normalize eye images by a simple calculation. Our system alarms and operates seatbelt on vibration through controller area network(CAN) when the driver's doze level is detected. Our algorithm is implemented with low computation complexity and high recognition rate. We achieve 97% of correct detection rate through in-car environment experiments.

A Study for Detecting a Gazing Point Based on Reference Points (참조점을 이용한 응시점 추출에 관한 연구)

  • Kim, S.I.;Lim, J.H.;Cho, J.M.;Kim, S.H.;Nam, T.W.
    • Journal of Biomedical Engineering Research
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    • v.27 no.5
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    • pp.250-259
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    • 2006
  • The information of eye movement is used in various fields such as psychology, ophthalmology, physiology, rehabilitation medicine, web design, HMI(human-machine interface), and so on. Various devices to detect the eye movement have been developed but they are too expensive. The general methods of eye movement tracking are EOG(electro-oculograph), Purkinje image tracker, scleral search coil technique, and video-oculograph(VOG). The purpose of this study is to embody the algorithm which tracks the location of the gazing point at a pupil. Two kinds of location data were compared to track the gazing point. One is the reference points(infrared LEDs) which is effected from the globe. Another is the center point of the pupil which is gained with a CCD camera. The reference point was captured with the CCD camera and infrared lights which were not recognized by human eyes. Both of images which were thrown and were not thrown an infrared light on the globe were captured and saved. The reflected reference points were detected with the brightness difference between the two saved images. In conclusion, the circumcenter theory of a triangle was used to look for the center of the pupil. The location of the gazing point was relatively indicated with the each center of the pupil and the reference point.

A Study on the Nurse's Recognition and Performance in Intravenous Therapy Management (간호사의 정맥주사 관리에 대한 인식과 수행에 관한 연구)

  • Kim Myung-Hee;Kim Youn-Hwa
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.5 no.2
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    • pp.207-224
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    • 1998
  • The purposes of this study were to identify nurse's recognition and performance and to represent the factors of hindrance in the IV therapy management. The subjects were 420 nurses who worked at five general hospitals in Pusan. Tha data were collected using a questionnaire and the period of data collection was from January 1 to January 31, 1998. The instrument for this study was made by author oneself on the basis of guidelines Simmons et al', CDC' Stanley' and Kurdi' guideline, Cllinical Nurse's Association' that consist of 68 items for 5 fields ; pre-injection, just before-injection, needle-injection, during injection, post-injection field. Cron-bach Alpha coefficient of recognition and performance in the IV therapy management was .93 and .87. The datas were analized by a SPSS program using frequency, percent, paired t-test, t-test and oneway ANOVA. The results obtained were as follows : 1. The mean score of recognition in IV therapy management was significantly higher than that of performance(t=5.86, P<.001). 2. The items of lower than mean score of each fields in performance were the identification of drugs, hands washing, patient teaching about medication, disinfectional methods of the injection site and the rubber stopper in bottle, the use of disposable gloves, mask and eye goggles at the chemotherapy preparation, use of tape and armboard, changing the IV tubing, labeling the dressing over the injection site, observation and recordings of patient's condition after medication and confirmation of the needle length at the needle removal. 3. The factors of hindrance in IV therapy were 'having no time', 'insufficiency of goods', 'unknowing of methods', 'no disadvantage', and 'factors of doctor's doing'. The most important factor was 'have no time', especially item of hands washing. The other factors of hindrance showed high frequency in the following items ; 'insufficiency of goods' in the use of disposable gloves, mask and eye goggles at the chemotherapy preparation, 'unknowing of methods' in the certification of drugs compatibility, 'no disadvantage' in the labeling the dressing over the injection site, and 'factors of doctor's doing' in the changing the subclavian catheter dressing and checking the glucose level during the TPN infusion. In conclusion, there is necessity of educational program which can improve the nurse's knowledge of drugs, disinfection methods, comfort of patient and recordings in IV therapy management and alternative plan which are political and financial aids such as setting up the sink, giving of paper towels and necessary goods in the IV therapy for reducing the factors of hindrance for IV therapy management.

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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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Iris Lacuna Extraction using Watershed (Watershed를 이용한 홍채 열공 추출)

  • 박현선;한일호;김회율
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.53-56
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    • 2002
  • In this paper, we propose the method of iris lacuna extraction using watershed transform. Lacuna is salient feature of iris. It has three dimensional structure formed by leak of pigmentation and loss of fiber tissues. Lacuna can be used for iris recognition system, and generally used in health diagnosis and character analysis with its shape and position. The main idea of the proposed method is applying the watershed transform to radial gray scale profile of iris image. The result shows that the lacuna can be extracted automatically from eye image.

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Digitalization System of Historical Hanja Documents using Mahalanobis Distance-based Rejection

  • Kim, Min-Soo;Kim, Jin-Hyung
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.2
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    • pp.313-325
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    • 2005
  • In Korea, there exists a large corpus of handwritten historical documents that serve as a valuable resource. Most of them are hand-written by the King's chroniclers and secretaries. Recently, the historical archives of Lee dynasty have been digitalized. Since it is extremely difficult to utilize conventional OCR system, most of the processes have been performed manually. In this paper, we propose OCR-based digitalization system using Mahalanobis distance-based rejection and interface for eye inspection about historical Hanja documents. Compared with our previous work, experimental results show that the proposed system can help enhancing the overall efficiency of the process.

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Interactive user authentication combining face recognition with real-time eye tracking (얼굴 인식과 실시간 눈동자 인식을 결합한 인터렉티브한 사용자 인증)

  • Jun, Young-Si;Lee, Chang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.1094-1097
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    • 2010
  • 생체 인식 기술 중 얼굴 인식과 눈동자 인식을 활용하여 기존의 얼굴 인식 내지 지문 인식만을 사용했을 때 보다 좀 더 인터렉티브한 인증 환경을 제공함으로써 복사한 이미지를 이용해 인증 체계를 회피할 수 있는 가능성을 줄였다.

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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Face Detection Based on Thick Feature Edges and Neural Networks

  • Lee, Young-Sook;Kim, Young-Bong
    • Journal of Korea Multimedia Society
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    • v.7 no.12
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    • pp.1692-1699
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    • 2004
  • Many researchers have developed various techniques for detection of human faces in ordinary still images. Face detection is the first imperative step of human face recognition systems. The two main problems of human face detection are how to cutoff the running time and how to reduce the number of false positives. In this paper, we present frontal and near-frontal face detection algorithm in still gray images using a thick edge image and neural network. We have devised a new filter that gets the thick edge image. Our overall scheme for face detection consists of two main phases. In the first phase we describe how to create the thick edge image using the filter and search for face candidates using a whole face detector. It is very helpful in removing plenty of windows with non-faces. The second phase verifies for detecting human faces using component-based eye detectors and the whole face detector. The experimental results show that our algorithm can reduce the running time and the number of false positives.

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