• Journal of the Ergonomics Society of Korea
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• v.34 no.6
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• pp.597-607
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• 2015

Objective: The purpose of this study is to identify the effects of sign language video location in e-learning system for the hearing-impaired. Background: E-learning education is a good way to resolve the inequality of education for the disabled. Providing a sign language video in e-learning education for the hearing-impaired is very important for their learning. Although the location of sign language video is an important factor in the design of the video, the effect of its location in learning using the e-learning system was not studied. Method: In order to identify the effect of sign language video location on the learning of the hearing-impaired using the e-learning system, the prototypes of the system with different locations were developed. Eighteen people with hearing impairment participated in this experiment. Learning presence, learning immersion, and learning satisfaction were used to measure learning effects with sign language video location. Results: Bottom right position was more preferred through preference evaluation for sign language video location. The learning effect with sign language video location (bottom-left and bottom-right) was not significant. That is, the effects of learning presence, immersion, and satisfaction were not statistically significant with video location. Conclusion: From this study, the following have to be considered in e-learning system design for the hearing-impaired. Although the location of a sign language video is not a significant factor from the experiment, the bottom right position in the design is proposed because learning presence and satisfaction is slightly higher at the bottom right position, and the position is preferred from subjective evaluation. From the analysis of interview data, it was also proposed that the design of a sign language video should be improved for the hearing-impaired. Application: The result of this study can be applied to the e-learning system design for the hearing-impaired.

• The Research Journal of the Costume Culture
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• v.10 no.3
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• pp.213-235
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• 2002

The purpose of this study was to recognize the meanings of plastic language by analyzing the sign of the Graffiti depicted in western modern costumes. And the scope of this study was focused on analysing the costumes from 1980's when the Graffiti was recognized as one of the plastic arts. Graffiti was an unprofessional and covert desire of self-expression, having a close relation with our lives. It was used in diverse ways with repeating creation, development, and extinction, from expressing liveliness in Old Stone Age through describing symbolic meaning in the modern art. Graffiti means rude, humorous, or political writing and pictures on the walls of buildings. It's different from the delicate letters or pictures to inscript on the tree or rocks. Being introduced as part of Post-modernism in the 1970s, Graffiti was acknowledged as a new artistic action with the culture of hip-hop. In addition the Graffiti, the expression of sign was reflected artist's internal consciousness with boundless sign. The sign is something to transmit message from the nonverbal point of view, the oldest sign was the sign for petition or the expression of something as a primitive form. Sign can be defined as a framework of life inherited as a practice from the primitive age long past. Graffiti was cited as a concrete example of sign, theme of this paper, and general understanding on sign expression was pursued through free work which all artists present with essential and positive ways using signs, their own languages, and life style. The result of this study was summarized as follows: Since the end of the 20th century, a lot of fashion designers have represented symbolic images, such as letter and signs, as purely personal ways of expression through the western costumes. It was found that fashion designers of the Graffiti whose free work style from inherent inner consciousness might provide a basic framework to search for complex signs of modem costumes naturally understood life itself as plastic art, and sublimated human inherent desire and their inner world through their works.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.175-185
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• 2021

Purpose: Vital sign are used to help assess the general physical health of a person, give clues to possible diseases, and show progress toward recovery. Researchers are using vital sign data and AI(artificial intelligence) to manage a variety of diseases and predict mortality. In order to analyze vital sign data using AI, it is important to select and extract vital sign data suitable for research purposes. Methods: We developed a method to visualize vital sign and early warning scores by processing retrospective vital sign data collected from EMR(electronic medical records) and patient monitoring devices. The vital sign data used for development were obtained using the open EMR big data MIMIC-III and the wearable patient monitoring device(CareTaker). Data processing and visualization were developed using Python. We used the development results with machine learning to process the prediction of mortality in ICU patients. Results: We calculated NEWS(National Early Warning Score) to understand the patient's condition. Vital sign data with different measurement times and frequencies were sampled at equal time intervals, and missing data were interpolated to reconstruct data. The normal and abnormal states of vital sign were visualized as color-coded graphs. Mortality prediction result with processed data and machine learning was AUC of 0.892. Conclusion: This visualization method will help researchers to easily understand a patient's vital sign status over time and extract the necessary data.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.17-22
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• 2021

It is difficult for the hearing impaired to use the counseling service without sign language interpretation. Due to the shortage of sign language interpreters, it takes a lot of time to connect to sign language interpreters, or there are many cases where the connection is not available. Therefore, in this paper, we propose a system that captures sign language as an image using OpenCV and CNN (Convolutional Neural Network), recognizes sign language motion, and converts the meaning of sign language into textual data and provides it to users. The counselor can conduct counseling by reading the stored sign language translation counseling contents. Consultation is possible without a professional sign language interpreter, reducing the burden of waiting for a sign language interpreter. If the proposed system is applied to counseling services for the hearing impaired, it is expected to improve the effectiveness of counseling and promote academic research on counseling for the hearing impaired in the future.

• Korean Institute of Interior Design Journal
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• no.28
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• pp.133-139
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• 2001

There are many types of linguistical system generally being used in modern society and it is essential to understand the primary components comprising the linguistical system when communication by the language system. In the linguistics point of view, the sign system has been developed from the simple linguistic symbols used by our ancestors in the ancient period, those visual linguistic sign can be so symbolize and express simply the significant meaning of it that people can understand and communicate with it so fast and easily. Therefore, the purpose of this report is how the sign system can be convenient, handy, safe, comfortable, and confusion-proof to the occupants as the public media; easily understandable to the individual by the development and constitution of effectual signage system concerning guidance, direction and safeguards in thee visual linguistics point of view. Consequently, the sign system have been studied based upon the theory of visual perception considering the cognitive and sociopsychological affects of user.

• Journal of applied mathematics & informatics
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• v.28 no.1_2
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• pp.209-216
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• 2010

A spectrally arbitrary complex sign pattern A is a complex sign pattern of order n such that for every monic nth degree polynomial f(x) with coefficients from $\mathbb{C}$, there is a matrix in the qualitative class of A having the characteristic polynomial f(x). In this paper, we show a necessary condition for a spectrally arbitrary complex sign pattern and introduce a minimal spectrally arbitrary complex sign pattern $A_n$ all of whose superpatterns are also spectrally arbitrary for $n\;{\geq}\;2$. Furthermore, we study the minimum number of nonzero parts in a spectrally arbitrary complex sign pattern.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.105.2-105
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• 2001

This paper studies continuous Korean Sign Language (KSL) recognition using color vision. In recognizing gesture words such as sign language, it is a very difficult to segment a continuous sign into individual sign words since the patterns are very complicated and diverse. To solve this problem, we disassemble the KSL into 18 hand motion classes according to their patterns and represent the sign words as some combination of hand motions. Observing the speed and the change of speed of hand motion and using state automata, we reject unintentional gesture motions such as preparatory motion and meaningless movement between sign words. To recognize 18 hand motion classes we adopt Hidden Markov Model (HMM). Using these methods, we recognize 5 KSL sentences and obtain 94% recognition ratio.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.243-248
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• 2006

Recognition of sign has been studied to provide convenience tour information for foreigners and strangers through automatic recognition of sign. The sign image database is essential to training the classifier and to intuitive measurement of performance. In this paper, we described the sign image database collected at Jeonju Hanok Village. As to 45 each other sign image, corresponding 50 images are collected under several condition. This database could be important content to study for the field of pattern recognition.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1375-1378
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• 1997

In this paper, we presents the algorithm which is to recognize the traffic sign on the road the traffic signal in a video image for autonomous navigation. First, the rocognition of traffic sign on the road can be detected using boundary point estimation form some scan-lines within the lane deducted. For this algorithm, index matrix method is used to detemine what sign is. Then, the traffic signal recognition is performed by usign the window minified by several scan-lines which position may be expected. For this algoritm, line profile concept is adopted.

• Communications of the Korean Mathematical Society
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• v.12 no.1
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• pp.27-36
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• 1997

A matrix whose entries consist of the symbols +, -, 0 is called a sign-pattern matrix. We characterize the $n \times n$ irreducible sign-pattern matrices that are sign tripotent.