• Title/Summary/Keyword: sign

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A NOTE ON SIGN CENTRAL MATRICES

  • Lee, Gwang-Yeon
    • Journal of applied mathematics & informatics
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    • v.10 no.1_2
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    • pp.353-360
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    • 2002
  • In this paper we study when a sign pattern matrix A and a sign pattern vector b have the property that the convex hull of the columns of each matrix with sign pattern A contains a vector with sign pattern b. This study generalizes the notion of sign central matrices.

A construction of dictionary for Korean Text to Sign Language Translation (한글문장-수화 번역기를 위한 사전구성)

  • 권경혁;민홍기
    • Proceedings of the IEEK Conference
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    • 1998.10a
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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.

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Application of Artificial Neural Network For Sign Language Translation

  • Cho, Jeong-Ran;Kim, Hyung-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.185-192
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    • 2019
  • In the case of a hearing impaired person using sign language, there are many difficulties in communicating with a normal person who does not understand sign language. The sign language translation system is a system that enables communication between the hearing impaired person using sign language and the normal person who does not understand sign language in this situation. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, the existing sign language translation system does not solve such difficulties due to some problems. Existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. Therefore, in this paper, a sign language translation system using an artificial neural network is devised to overcome the problems of the existing system.

Sign2Gloss2Text-based Sign Language Translation with Enhanced Spatial-temporal Information Centered on Sign Language Movement Keypoints (수어 동작 키포인트 중심의 시공간적 정보를 강화한 Sign2Gloss2Text 기반의 수어 번역)

  • Kim, Minchae;Kim, Jungeun;Kim, Ha Young
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1535-1545
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    • 2022
  • Sign language has completely different meaning depending on the direction of the hand or the change of facial expression even with the same gesture. In this respect, it is crucial to capture the spatial-temporal structure information of each movement. However, sign language translation studies based on Sign2Gloss2Text only convey comprehensive spatial-temporal information about the entire sign language movement. Consequently, detailed information (facial expression, gestures, and etc.) of each movement that is important for sign language translation is not emphasized. Accordingly, in this paper, we propose Spatial-temporal Keypoints Centered Sign2Gloss2Text Translation, named STKC-Sign2 Gloss2Text, to supplement the sequential and semantic information of keypoints which are the core of recognizing and translating sign language. STKC-Sign2Gloss2Text consists of two steps, Spatial Keypoints Embedding, which extracts 121 major keypoints from each image, and Temporal Keypoints Embedding, which emphasizes sequential information using Bi-GRU for extracted keypoints of sign language. The proposed model outperformed all Bilingual Evaluation Understudy(BLEU) scores in Development(DEV) and Testing(TEST) than Sign2Gloss2Text as the baseline, and in particular, it proved the effectiveness of the proposed methodology by achieving 23.19, an improvement of 1.87 based on TEST BLEU-4.

The Physical Acting as a Sign: Its Theatrical Features and Cognitive Science Principles. (기호로서의 신체적 연기: 그것의 연극적 특성과 인지과학적 원리)

  • Kim, Yongsoo
    • Journal of Korean Theatre Studies Association
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    • no.52
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    • pp.271-317
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    • 2014
  • This essay studied the acting theories of Diderot, Delsarte, Meyerhold, and Artaud to know the historical formation of 'sign acting' and its theoretical and aesthetic appropriateness. The sign acting so far discussed shows the repetitive patterns of idea as follows. The sign acting (1) emphasizes the physical expression such as gesture and movement, (2) assumes that the physical expression functions as a sign evoking special emotion and thought, (3) thus recommends the imitation of the outer sign, (4) uses a tableau for the effective reception of outer sign, (5) aims for the spectator oriented aesthetics as it stresses the result of outer sign rather than the creative process of a role, (6) assumes that the emotional reaction or the intellectual understanding springs from the physical experience, (7) thus emphasizes the physical language rather than speech, (8) can attain the appropriateness of physical language by the recent theories of cognitive science. Besides having such commonness, the sign acting also reveals the individual differences. For instance, the intended sign for Diderot and Delsarte was the sign of emotion, for Meyerhold the stylized sign of circus and acrobatics, and for Artaud the spiritual sign. If Diderot and Meyerhold demands the cool consciousness for the correct sign acting, Artaud's sign acting tends to pursue the state of trance. And if Diderot, Delsarte, and Meyerhold think the sign acting on the level of sensory appeal, Artaud insists that the sign acting should dismantle the spectator's sense. As such the discussion of sign acting shows both recurrent ideas and new visions, forming an unity out of diversity. Perhaps the sign acting is a matter of practice before we consider it as a theory. It is not only supposed to have been existed practically since ancient theatre, but also used by actors consciously and unconsciously in expressing certain emotion and thought. We need to study the sign acting more academically, considering its long history and aesthetic potentials. In fact the sign acting has been an essential element of acting, in spite of bad reputation judging it as a banal and worn-out style. It is true that the sign acting, in the worst case, could produce a stereotypical expression. It was this aspect of sign acting that caused a fierce negative reaction of the realists who sought the natural expression based upon psychological truth. Of course the sign acting has a serious problem when it stays banal and artificial. But we need to see this issue from a different perspective. What is the natural expression of emotion? How is it free from the learned way of expression? In some respect, we use, in reality, a learned expression of emotion that could be accepted socially. For instance, when we attend a funeral, we use the outer sign of mourning gestures learned socially. If a semiotic expression pervades various aspects of our life, the acting, being the representation of life, seems not to be free from codified expression. The sign acting could be used consciously and unconsciously in all kinds of acting.

Design and Implementation of a Koran Text to Sign Language Translation System (한국어-수화 번역 시스템 설계)

  • Gwon, Gyeong-Hyeok;U, Yo-Seop;Min, Hong-Gi
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.3
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    • pp.756-765
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    • 2000
  • In this paper, a korean text to sign language translation system is designed and implemented for the hearing impaired people to learn letters and to have a conversation with normal people. We adopt the direct method for machine translation which uses morphological analysis and the dictionary search. And we define the necessary sign language dictionaries. Based on this processes, the system translate korean sentences to sign language moving picture. The proposed dictionaries are composed of the basic sign language dictionary, the compound sing language dictionary, and the resemble sign language dictionary. The basic sign language dictionary includes basic symbols and moving pictures of korean sign language. The compound sing language dictionary is composed of key-words of basic sign language. In addition, we offered the similar letters at the resemble sign language dictionary. The moving pictures of searched sign symbols are displayed on a screen in GIF formats by continuous motion of sign symbols or represented by the finger spelling based on the korean code analysis. The proposed system can provide quick sign language search and complement the lack of sign languages in the translation process by using the various sign language dictionaries which are characterized as korean sign language. In addition, to represent the sign language using GIF makes it possible to save the storage space of the sign language. In addition, to represent the sign language using GIF makes it possible to save storage space of the sign language dictionary.

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A CHARACTERIZATION OF THE NEARLY SIGN CENTRAL MATRICES AND ITS MINIMALLITY

  • Lee, Gwang-Yeon;Lee, You-Ho
    • Journal of applied mathematics & informatics
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    • v.14 no.1_2
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    • pp.225-235
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    • 2004
  • The sign central matrices were characterized by Ando and Brualdi. And, the nearly sign central matrices were characterized by Lee and Cheon. In this paper, we give another characterization of nearly sign central matrices. Also, we introduce the nearly minimal sign central matrices and study the properties of nearly minimal sign central matrices.

A CHARACTERIZATION OF NEARLY SIGN-CENTRAL MATRICES

  • Lee, Gwang-Yeon;Cheon, Gi-Sang
    • Bulletin of the Korean Mathematical Society
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    • v.37 no.4
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    • pp.771-778
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    • 2000
  • The sign-central matrices were characterized by Ando and Brualdi. In this paper, we define a nearly sign-central matrices and give a characterization of nearly sign-central matrices.

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A Study on a Sign System in a Library (도서관 서고 유도 Sign System 현장 사례 연구 - S대학 중앙도서관 사례를 중심으로 -)

  • Park, Sang-Kun;Lee, Jae-Won
    • Journal of Korean Library and Information Science Society
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    • v.50 no.2
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    • pp.339-359
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    • 2019
  • The purpose of this study is to clarify the case and process of the application of the sign system in order to enable the user to reach the target site more efficiently in the library. For this purpose, a new sign system was applied to the S University library through procedures such as library structure, sign status, user observation, cyan production and preference survey. Detailed production process and user's reaction were identified. Based on this we suggested improvements to the library stacks signage system.

Sign Language Image Recognition System Using Artificial Neural Network

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.193-200
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    • 2019
  • Hearing impaired people are living in a voice culture area, but due to the difficulty of communicating with normal people using sign language, many people experience discomfort in daily life and social life and various disadvantages unlike their desires. Therefore, in this paper, we study a sign language translation system for communication between a normal person and a hearing impaired person using sign language and implement a prototype system for this. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. In this paper, we use machine learning method of artificial neural network to recognize various sign language expressions of sign language users. By using generalized smart phone and various video equipment for sign language image recognition, we intend to improve the usability of sign language translation system.