• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.3
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• pp.48-60
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• 2007

In previous researches for iris feature extraction, they transform a original iris image into rectangular one by stretching and interpolation, which causes the distortion of iris patterns. Consequently, it reduce iris recognition accuracy. So we are propose the method that extracts iris feature by using polar coordinates without distortion of iris patterns. Our proposed method has three strengths compared with previous researches. First, we extract iris feature directly from polar coordinate circular iris image. Though it requires a little more processing time, there is no degradation of accuracy for iris recognition and we compares the recognition performance of polar coordinate to rectangular type using by Hamming Distance, Cosine Distance and Euclidean Distance. Second, in general, the center position of pupil is different from that of iris due to camera angle, head position and gaze direction of user. So, we propose the method of iris feature detection based on polar coordinate circular iris region, which uses pupil and iris position and radius at the same time. Third, we overcome override point from iris patterns by using polar coordinates circular method. each overlapped point would be extracted from the same position of iris region. To overcome such problem, we modify Gabor filter's size and frequency on first track in order to consider low frequency iris patterns caused by overlapped points. Experimental results showed that EER is 0.29%, d' is 5,9 and EER is 0.16%, d' is 6,4 in case of using conventional rectangular image and proposed method, respectively.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.923-932
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• 2017

In this paper, we propose a GRNN(: Generalized Regression Neural Network) algorithms for new eyes and face recognition identification system to solve the points that need corrective action in accordance with the existing problems of facial movements gaze upon it difficult to identify the user and. Using a Kalman filter structural information elements of a face feature to determine the authenticity of the face was estimated future location using the location information of the current head and the treatment time is relatively fast horizontal and vertical elements of the face using a histogram analysis the detected. And the light obtained by configuring the infrared illuminator pupil effects in real-time detection of the pupil, the pupil tracking was to extract the text print vector. The abstract is to be in fully-justified italicized text as it is here, below the author information.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.63-72
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• 2007

The traffic sign on the road should be easy to distinguishable even from far, and should be recognized in a short time. As traffic sign is a very important object which provides important information for the drivers to enhance safety, it has to attract human's attention among any other objects on the road. This paper proposes a new method of detecting the area of traffic sign, which uses attention module on the assumption that we attention our gaze on the traffic sign at first among other objects when we drive a car. In this paper, we analyze the previous studies of psycophysical and physiological results to get what kind of features are used in the process of human's object recognition, especially color processing, and with these results we detected the area of traffic sign. Various kinds of traffic sign images were tested, and the results showed good quality(average 97.8% success).

• Journal of the Ergonomics Society of Korea
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• v.25 no.2
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• pp.135-146
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• 2006

Multimodal interfaces are recognition-based technologies that interpret and encode hand gestures, eye-gaze, movement pattern, speech, physical location and other natural human behaviors. Modality is the type of communication channel used for interaction. It also covers the way an idea is expressed or perceived, or the manner in which an action is performed. Multimodal Interfaces are the technologies that constitute multimodal interaction processes which occur consciously or unconsciously while communicating between human and computer. So input/output forms of multimodal interfaces assume different aspects from existing ones. Moreover, different people show different cognitive styles and individual preferences play a role in the selection of one input mode over another. Therefore to develop an effective design of multimodal user interfaces, input/output structure need to be formulated through the research of human cognition. This paper analyzes the characteristics of each human modality and suggests combination types of modalities, dual-coding for formulating multimodal interaction. Then it designs multimodal language and input synchronization method according to the granularity of input synchronization. To effectively guide the development of next-generation multimodal interfaces, substantially cognitive modeling will be needed to understand the temporal and semantic relations between different modalities, their joint functionality, and their overall potential for supporting computation in different forms. This paper is expected that it can show multimodal interface designers how to organize and integrate human input modalities while interacting with multimodal interfaces.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2009.05a
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• pp.88-92
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• 2009

본 논문에서는 시선인식을 이용한 지능형 휠체어 시스템에 대해 설명한다. 지능형 휠체어는 초음파센서를 이용하여 전동휠체어가 장애물을 감지하여 회피할 수 있게 하고, 조이스틱을 움직이기 힘든 중증 장애인을 위해 시선인식 및 추적을 이용하여 전동휠체어를 움직일 수 있게 하는 인터페이스를 제안한다. 지능형 휠체어는 시선인식 및 추적 모듈, 사용자 인터페이스, 장애물 회피 모듈, 모터 제어 모듈, 초음파 센서 모듈로 구성된다. 시선인식 및 추적 모듈은 적외선 카메라와 두개의 광원으로 사용자 눈의 각막 표면에 두 개의 반사점을 생성하고, 중심점을 구한 뒤, 동공의 중심점과 두 반사점의 중심을 이용하여 시선 추적을 한다. 시선이 응시하는 곳의 명령어를 사용자 인터페이스를 통해서 하달 받고, 모터 제어 모듈은 하달된 명령과 센서들에 의해 반환된 장애물과의 거리 정보로 모터제어보드에 연결되어 있는 두 개의 좌우 모터들을 조종한다. 센서 모듈은 전등휠체어가 움직이는 동안에 주기적으로 센서들로부터 거리 값을 반환 받아 벽 또는 장애물을 감지하여 장애물 회피 모듈에 의해 장애물을 우회 하도록 움직인다. 제안된 방법의 인터페이스는 실험을 통해 시선을 이용하여 지능형 휠체어에 명령을 하달하고 지능형 휠체어가 임의로 설치된 장애물을 효과적으로 감지하고 보다 정확하게 장애물을 회피 할 수 있음을 보였다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.406-410
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• 2009

As studies on more realistic human-robot interface are being actively carried out, people's interests about telepresence which remotely controls robot and obtains environmental information through video display are increasing. In order to provide natural telepresence services by moving a remote robot, it is required to recognize user's behaviors. The recognition of user movements used in previous telepresence system was difficult and costly to be implemented, limited in its applications to human-robot interaction. In this paper, using the Nintendo's Wii controller getting a lot of attention in these days and infrared LEDs, we propose an immersive user interface that easily recognizes user's position and gaze direction and provides remote video information through HMD.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.240-244
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• 2007

Non-intrusive methods based on active remote IR illumination fur eye tracking is important for many applications of vision-based man-machine interaction. One problem that has plagued those methods is their sensitivity to lighting condition change. This tends to significantly limit their scope of application. In this paper, we present a new real-time eye detection and tracking methodology that works under variable and realistic lighting conditions. Based on combining the bright-pupil effect resulted from IR light and the conventional appearance-based object recognition technique, our method can robustly track eyes when the pupils are not very bright due to significant external illumination interferences. The appearance model is incorporated in both eyes detection and tracking via the use of support vector machine and the mean shift tracking. Additional improvement is achieved from modifying the image acquisition apparatus including the illuminator and the camera.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9C
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• pp.887-898
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• 2005

In this paper, we introduce a probabilistic model based on Bayesian networks BNs) for recognizing human fatigue. First of all, we measured face feature information such as eyelid movement, gaze, head movement, and facial expression by IR illumination. But, an individual face feature information does not provide enough information to determine human fatigue. Therefore in this paper, a Bayesian network model was constructed to fuse as many as possible fatigue cause parameters and face feature information for probabilistic inferring human fatigue. The MSBNX simulation result ending a 0.95 BN fatigue index threshold. As a result of the experiment, when comparisons are inferred BN fatigue index and the TOVA response time, there is a mutual correlation and from this information we can conclude that this method is very effective at recognizing a human fatigue.

• Journal of the HCI Society of Korea
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• v.3 no.1
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• pp.27-32
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• 2008

As studies on more realistic human-robot interface are being actively carried out, people's interests about telepresence which remotely controls robot and obtains environmental information through video display are increasing. In order to provide natural telepresence services by moving a remote robot, it is required to recognize user's behaviors. The recognition of user movements used in previous telepresence system was difficult and costly to be implemented, limited in its applications to human-robot interaction. In this paper, using the Nintendo's Wii controller getting a lot of attention in these days and infrared LEDs, we propose an immersive user interface that easily recognizes user's position and gaze direction and provides remote video information through HMD.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.84-94
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• 2018

This study analyzed domestic media articles from 1920 to 2017 using R 3.4, a big data analysis tool. In addition, it examines the sexual minority discourse reproduced through the media for about 100 years, focused on the role of the film as an art of struggling with the projective aversion to sexual minorities. sexual minorities in movies are not abominable. They are people we already know in our daily lives, and they are just different in sexual orientation. In general, sexual minorities are less likely to encounter in everyday life, so they are experienced and perceived through what the media present. It is noteworthy that the representation of sexual minorities in the media is formed as a major agenda of our society by publicizing the problems underlying society on the surface. It causes social issues to be raised by revealing and highlighting the problems that are regarded as alienated and avoided from the mainstream's gaze. The content provided by the media enables a three-dimensional experience of subjects who have not experienced it by themselves, and has a decisive influence in correctly recognizing and judging society. Media content suggests that it can be a powerful weapon of recognition struggle that can naturally fight against social hatred without using methods such as demonstrations or protests.