• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.359-367
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• 2022

Arabic skills are the tools by which children are prepared for the educational procedures on which their life depends. Deaf and hard of hearing students (DHH), must be able to grasp the same Arabic terms as hearing students and their different meanings in a context of different sentences less than what they are supposed to be due to their inability. However, problems arise in the same Arabic word and their different meanings in a context for (DHH) students since the way of comprehending such words does not meet the needs and circumstances of (DHH) students. Therefore, researchers introduce web-based method for Arabic words and their meanings in a context prototype that can overcome those problems. Methodology: The study sample consists of 30 (DHH) students at Al Amal City of Palestine, Gaza Region (GR). Those participants that agreed to take part in this study were recruited using a purposeful sampling method. Additionally, to examine the survey information descriptively, the Statistical Packages for social Sciences (SPSS) version 24.0 was used. A sign language teaching movie is utilized in the prototype to standardize the process and verify that Arabic vocabulary and their implications are comprehended. The Evolutionary Process Model of Prototype technique was utilized to create this system. Finding: The findings of this study show that the prototype built is workable and has the ability to help DHHS differentiate between phrases that have the same letters but distinct meanings. The findings of this study are expected to contribute to a better understanding and application of Development of Web-based Arabic Assessments for (DHH) Students in developing countries, which will help to increase the use of Development of Web-based Arabic for (HDD) students in those countries. The empirical models of Web-based Arabic for (DHH) students are established as a proof of concept for the proposed model. The results of this study are predicted to have a significant impact to the information system practitioners and to the body of knowledge.

• International Journal of Internet, Broadcasting and Communication
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• 제9권2호
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• pp.58-63
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• 2017

The sound we hear is transmitted through the atmosphere. However, both the sound we want to hear and the surrounding sound are mixed, and noise is generated, and the sound is not clearly transmitted due to factors such as distance. In particular, in closed spaces like buildings, it is often difficult to hear sounds from outside because of the sound of reflection. People with hearing impairments, such as the elderly and the deaf, have a hard time hearing the sounds they want to hear. Thus, we are developing a hearing aid that can detect radio waves. To this end, we propose the development of a hearing aid that uses FM radio and Bluetooth. These devices are expected to be useful not only for the elderly and the deaf but also in situations where information is transmitted to a large number of people, such as students and tourists, in a large space. The main purpose of this device is to enable users to hear sound correctly without blind spots.

• 재활복지공학회논문지
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• 제10권2호
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• pp.127-132
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• 2016

본 연구에서는 국내 OCW 강좌가 시각 및 청각장애 대학생들이 인식하기에 접근성 측면에서 어떠한 문제점을 가지고 있는지를 파악하기 위해 사용성 평가를 실시하였다. 이에 시각장애 6명(전맹 3, 저시력 3), 청각장애 4명(농 2명, 난청 2명) 총 10명의 시각, 청각장애를 가진 대학생들이 국내 KOCW 사이트에서 제공하고 있는 두 가지 유형의 강좌를 대상으로 사용성 평가를 실시하였다. 평가 결과, 시각, 청각장애 학생들이 인식하게 두 유형의 강좌 모두 보통 이하의 낮은 수준의 사용성과 접근성 수준을 보이는 것으로 평가되었다. 이러한 연구결과를 통해서 시각, 청각장애인을 위해 OCW 설계 시 고려해야 할 점을 제안하였다.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.37-40
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• 2021

This paper presents a design of a speech to sign language converter for deaf and hard of hearing people. The device is low-cost, low-power consumption, and it can be able to work entirely offline. The speech recognition is implemented using an open-source API, Pocketsphinx library. In this work, we proposed a context-oriented language model, which measures the similarity between the recognized speech and the predefined speech to decide the output. The output speech is selected from the recommended speech stored in the database, which is the best match to the recognized speech. The proposed context-oriented language model can improve the speech recognition rate by 21% for working entirely offline. A decision module based on determining the similarity between the two texts using Levenshtein distance decides the output sign language. The output sign language corresponding to the recognized speech is generated as a set of sequential images. The speech to sign language converter is deployed on a Raspberry Pi Zero board for low-cost deaf assistive devices.

• 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.

• 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.

• 디지털콘텐츠학회 논문지
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• 제11권4호
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• pp.513-518
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• 2010

청각장애인의 사회진출의 증가로 대부분의 강연회에서 청각장애인을 고려한 수화통역사의 배치와 통역내용의 명확성이 매우 중요하게 인식되고 있다. 특히 통역내용의 명확성을 높이기 위해서 수화통역사는 강연자의 모습과 강의내용을 명확하게 파악하고 반드시 청중을 바라보면서 통역을 해야만 한다. 본 연구에서는 이러한 문제를 해결하기 위해서 소규모의 강연회를 고려한 강의실과 강당에서 수화통역사에게 강연자의 모습과 강연 내용 등의 정보를 최대한 제공할 수 있는 시스템을 제안하였다. 또한 본 연구에서 제시한 시스템의 유효성을 검증하기 위해서 관련 시스템, 실험 방법 등에 관해 서술을 하였다. 본 연구결과 수화통역사에게 제안한 시스템을 통한 강연 내용과 강연자의 모습에 대한 영상을 제시하는 것이 매우 효과적임을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.631-653
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• 2020

Sign language is a natural, visually oriented and non-verbal communication channel between people that facilitates communication through facial/bodily expressions, postures and a set of gestures. It is basically used for communication with people who are deaf or hard of hearing. In order to understand such communication quickly and accurately, the design of a successful sign language translation system is considered in this paper. The proposed system includes object detection and classification stages. Firstly, Single Shot Multi Box Detection (SSD) architecture is utilized for hand detection, then a deep learning structure based on the Inception v3 plus Support Vector Machine (SVM) that combines feature extraction and classification stages is proposed to constructively translate the detected hand gestures. A sign language fingerspelling dataset is used for the design of the proposed model. The obtained results and comparative analysis demonstrate the efficiency of using the proposed hybrid structure in sign language translation.

• 대한전자공학회논문지SP
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• 제41권1호
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• pp.69-76
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• 2004

최근 DTV 기술의 발전과 더불어 부가서비스의 요구가 크게 증가하고 있다. 본 논문에서는 청각장애인 과 어학 학습을 목적으로 사용될 수 있는 새로운 캡션엔진을 DTV상에서 구현 하였다. 기존의 자막방송 수신 기능은 영문 자막만을 수신할 수 있으며 마이컴에 내장된 OSD 데이터가 이용되기 때문에 지원하는 폰트와 칼라수가 제한되었다. 또 폰트가 매끄럽지 못하여 시각적으로 만족스러운 결과를 보여주지 못하였다. 본 논문에서는 EIA-608 규격에서 정의한 기능을 구현하기 위해 새로운 알고리즘을 제안하였으며, 가독성(visibility)을 높이기 위한 새로운 기법 및 고속 데이터 전송 기법을 적용한 결과 만족할 만한 결과를 얻을 수 있었다.