• 한국문헌정보학회지
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• 제49권4호
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• pp.75-97
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• 2015

이 연구의 목적은 독서장애인을 위한 전자책을 개발하기 위해 기본적으로 장애인들이 갖는 전자책 요구사항을 파악하는 것이다. 이를 위해 시각장애인을 중심으로 청각장애인 등 신체장애인에게 설문지를 통해 장애유형별 출판물 이용행태와 독서장애인의 전자책 접근성 개선을 위한 요구사항, 장애인을 위한 전자책의 기능적 항목을 조사하였다. 설문대상은 196명에게 이루어졌으며, 다음과 같은 주요사항을 확인하였다. 장애인들은 종이책에 대한 선호도가 전자책에 대한 요구보다 높게 나타났다. 독서를 하는 이유에 대해서는 실생활의 도움과 교양, 자기계발 순으로 조사되었다. 전자책 기능과 전자책 발간 종류의 다양성에 대해 부정적이었으며, 전자책이 단순한 플랫폼이 아니라 자유롭게 조정할 수 있는 소프트웨어 방식으로 개발되기를 희망하였다.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.8-16
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• 2024

Communication with the deaf has always been crucial. Deaf and hard-of-hearing persons can now express their thoughts and opinions to teachers through sign language, which has become a universal language and a very effective tool. This helps to improve their education. This facilitates and simplifies the referral procedure between them and the teachers. There are various bodily movements used in sign language, including those of arms, legs, and face. Pure expressiveness, proximity, and shared interests are examples of nonverbal physical communication that is distinct from gestures that convey a particular message. The meanings of gestures vary depending on your social or cultural background and are quite unique. Sign language prediction recognition is a highly popular and Research is ongoing in this area, and the SVM has shown value. Research in a number of fields where SVMs struggle has encouraged the development of numerous applications, such as SVM for enormous data sets, SVM for multi-classification, and SVM for unbalanced data sets.Without a precise diagnosis of the signs, right control measures cannot be applied when they are needed. One of the methods that is frequently utilized for the identification and categorization of sign languages is image processing. African Buffalo Optimization using Support Vector Machine (ABO+SVM) classification technology is used in this work to help identify and categorize peoples' sign languages. Segmentation by K-means clustering is used to first identify the sign region, after which color and texture features are extracted. The accuracy, sensitivity, Precision, specificity, and F1-score of the proposed system African Buffalo Optimization using Support Vector Machine (ABOSVM) are validated against the existing classifiers SVM, CNN, and PSO+ANN.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1991년도 춘계학술대회
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• pp.39-42
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• 1991

Two types of speech signal processores (SSP) for cochlea prosthesis are designed. One is designed using cochlear model and the other is designed using Information (formant, pitch, intensity) extraction method. For these, cochlear model and acoustic information extraction method are proposed. The result shows SSP of cochlear model type contain more acoustic cues than that of information extraction type.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.841-844
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• 1998

Korean Text to Sign Language Traslator could be applied to learn letters for both the deaf and hard-of-hearing people, and to have a conversation with normal people. This paper describes some useful dictionaries for developing korean text to sign language translator; Base sign language dictionary, Compound sign language dictionary, and Resemble sign language dictionary. As korean sign language is composed entirely of about 6,000 words, the additional dictionaries are required for matching them to korean written language. We design base sign language dictionary which was composed of basic symbols and moving picture of korean sign language, and propose the definition of compound isng language dictionary which was composed of symbols of base sing language. In addition, resemble sign language dictionary offer sign symbols and letters which is used same meaning in conversation. By using these methods, we could search quickly sign language during korean text to sign language translating process, and save storage space. We could also solve the lack of sign language words by using them, which are appeared on translating process.

• 음성과학
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• 제9권3호
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• pp.99-112
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• 2002

The purpose of the present study was to investigate the effectiveness of self-monitoring on spontaneously initiating speech behavior of the hearing-impaired preschoolers. Three hearing-impaired preschoolers were selected from a special school for the deaf. They showed some vocalizations and words under intensive instruction settings, but never spontaneously spoke as a means of communication. Multiple probe design was applied in this study. During the self-monitoring intervention, each child was trained to assess whether his own initiating speech behavior was occurred or not, and then record his own behavior's occurrence on the self-recording sheets and self-graphing sheets. The vibration of handphone was used as a tactile cue for self-monitoring. The results of the present study were as follows: (1) self-monitoring significantly increased the percentage of occurrence of spontaneously initiating speech behaviors. (2) Increased level of spontaneously initiating speech behavior were generalized into another natural instruction (cognitive) settings. (3) Increased level of spontaneously initiating speech behavior were maintained after four weeks from the termination of the intervention.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2017년도 춘계학술발표대회
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• pp.1121-1122
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• 2017

본 논문은 아두이노를 이용하여 청각 장애인을 위한 시각 정보 기반의 초인종 시스템을 설계하고자 한다. 아두이노에 버튼, 부저, 모터, LCD를 이용하여 초인종을 구현하여 방문객 발생 시 버튼을 통해 정보를 스마트폰에 실시간으로 안내하는 방식으로 서비스를 설계하였다. 또한 방문객 출입 여부를 스마트폰에서 선택하면 LCD를 통하여 그 정보가 출력될 수 있도록 하였다.

• 음성과학
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• 제3권
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• pp.50-56
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• 1998

Frequency transposition (FT) hearing system was designed for individuals with little or no residual hearing at high frequencies. This device compresses and shifts the wide-band, high frequency acoustic energy where important features for speech perception are concentrated to the audible, lower range of frequencies. The usefulness of the FT system was investigated for 12 patients (7 children and 5 adults) with severe-to-profound sensorineural hearing losses compared with conventional hearing aids. Results suggest that the hearing impaired can benefit from the FT system with appropriate selection criteria and auditory (re)habilitation program.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.333-336
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• 1996

The sign language is a method of communication for deaf person. For sign communication, sign language and manual alphabet are used continuously. In this paper is proposed a system which recognize Korean sign language(KSL) and Korean manual alphabet(KMA) continuously. For recognizing KSL and KMA, basic elements for sign language, namely, the 14 hand directions, 23 hand postures, and 14 hand orientations are used. At first, this system recognize current motion state using speed and change of speed in motion by state automata. Using state, basic element classifiers using Fuzzy Min-Max Neural Network and Fuzzy Rule are executed. Meaning of signed gesture is selected by using basic elements which was recognized.

• 한국게임학회 논문지
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• 제16권1호
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• pp.103-110
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• 2016

청각장애인의 시청각 매체인 TV이용에 있어서 문제가 되는 것은 소리를 들을 수 없기 때문에 프로그램 내용의 이해도가 현저히 떨어진다는 것이다. 그 이해도를 증대시켜 접근의 편의성을 높일 수 있는 연구의 필요성을 가지게 된다. 본 논문에서는 자막방송에 대해 자막을 자동으로 생성하는 방법을 제안하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.85-91
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• 1995

This paper presents a system which recognizes the Korean Sign Language(KSL) and translates into normal Korean speech. A sign language is a method of communication for the deaf-mute who uses gestures, especially both hands and fingers. Since the human hands and fingers are not the same in physical dimension, the same form of a gesture produced by two signers with their hands may not produce the same numerical values when obtained through electronic sensors. In this paper, we propose a dynamic gesture recognition method based on feature analysis for efficient classification of hand motions, and on a fuzzy min-max neural network for on-line pattern recognition.