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Journal articles on the topic 'HamNoSys'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Takkinen, Ritva. "Some observations on the use of HamNoSys (Hamburg Notation System for Sign Languages) in the context of the phonetic transcription of children’s signing." Language Acquisition 8, no. 1-2 (2005): 99–118. http://dx.doi.org/10.1075/sll.8.1.05tak.

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This paper discusses the use of the HamNoSys notation (Hamburg Notation System for Sign Languages) for the transcription of children’s signing. The notation system will be briefly described and some former descriptions of the acquisition of sign language phonology presented. The project in which HamNoSys was used is then described briefly followed by a description of the problems encountered while using the notation. Furthermore some proposals as to how to further develop the notation will be made. In conclusion the instrument can be said to be useful and, especially if revised, will be invalu

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2

Kaur, Khushdeep, and Parteek Kumar. "HamNoSys to SiGML Conversion System for Sign Language Automation." Procedia Computer Science 89 (2016): 794–803. http://dx.doi.org/10.1016/j.procs.2016.06.063.

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3

Hanke, Thomas, Reiner Konrad, and Arvid Schwarz. "GlossLexer." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 171–89. http://dx.doi.org/10.1075/sll.4.1-2.12han.

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GlossLexer is a multi-user sign language lexical database integrating digital video that has been designed to support the compilation process for specialist dictionaries from data collection to production. Sign entries are identified by HamNoSys notations as well as glosses, but the user always has immediate access to video clips showing the signs as uttered by the informants.

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4

Hanke, Thomas, Reiner Konrad, and Arvid Schwarz. "GlossLexer." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 171–89. http://dx.doi.org/10.1075/sll.4.12.12han.

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GlossLexer is a multi-user sign language lexical database integrating digital video that has been designed to support the compilation process for specialist dictionaries from data collection to production. Sign entries are identified by HamNoSys notations as well as glosses, but the user always has immediate access to video clips showing the signs as uttered by the informants.

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Sekarsari, Wensi, Arif Bijaksana Putra Negara, and Rudy Dwi Nyoto. "Konversi Bahasa Indonesia ke BISINDO Menggunakan JASigning dengan Metode Lookup Table." Jurnal Sistem dan Teknologi Informasi (Justin) 8, no. 3 (2020): 264. http://dx.doi.org/10.26418/justin.v8i3.38135.

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Keterbatasan jumlah juru bahasa isyarat untuk BISINDO dapat menghambat terwujudnya proses komunikasi, baik antara Teman dengar dan Teman Tuli maupun sebaliknya. Untuk mengatasi permasalahan tersebut penelitian yang dilakukan bertujuan membuat sistem yang langsung dapat mengkonversi masukan berupa teks Bahasa Indonesia (yang sebelumnya telah dibuat juga kedalam bentuk HamNoSys) menjadi gerakan isyarat BISINDO yang dapat dianimasikan dengan menggunakan JASigning. Sistem konversi yang dirancang sangat bergantung pada algoritma pencarian dan pencocokan kata dengan simbol HamNoSys pada basis data s

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6

Villa-Monedero, María, Manuel Gil-Martín, Daniel Sáez-Trigueros, Andrzej Pomirski, and Rubén San-Segundo. "Sign Language Dataset for Automatic Motion Generation." Journal of Imaging 9, no. 12 (2023): 262. http://dx.doi.org/10.3390/jimaging9120262.

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Several sign language datasets are available in the literature. Most of them are designed for sign language recognition and translation. This paper presents a new sign language dataset for automatic motion generation. This dataset includes phonemes for each sign (specified in HamNoSys, a transcription system developed at the University of Hamburg, Hamburg, Germany) and the corresponding motion information. The motion information includes sign videos and the sequence of extracted landmarks associated with relevant points of the skeleton (including face, arms, hands, and fingers). The dataset in

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7

Crasborn, Onno A., Harry van der Hulst, and Els van der Kooij. "SignPhon." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 215–28. http://dx.doi.org/10.1075/sll.4.1-2.15cra.

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This paper describes the SignPhon database, a tool for phonological research. The history and goal of the project are outlined, and the database is briefly compared to other projects like HamNoSys and SignStream. We present the structure of the database and an overview of the fields that are included. We conclude with a discussion of the experiences that we have had in using the database for our research.

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Crasborn, Onno A., Harry van der Hulst, and Els van der Kooij. "SignPhon." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 215–28. http://dx.doi.org/10.1075/sll.4.12.15cra.

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This paper describes the SignPhon database, a tool for phonological research. The history and goal of the project are outlined, and the database is briefly compared to other projects like HamNoSys and SignStream. We present the structure of the database and an overview of the fields that are included. We conclude with a discussion of the experiences that we have had in using the database for our research.

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9

H. Aliwy, Ahmed, and Ahmed A. Alethary. "Development of arabic sign language dictionary using 3D avatar technologies." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (2021): 609. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp609-616.

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<span>The arabic sign language (ArSL) is the natural language of the deaf community in Arabic countries. ArSL suffers from a lack of resources such as unified dictionaries and corpora. In this work, a dictionary of Arabic language to ArSL has been constructed as a part of a translation system. The Arabic words are converted into hamburg notation system (HamNoSys) using eSign editor Software. HamNoSys was used to create manual parameters (handshape, hand orientation, hand location, and hand movement), while non-manual parameters (facial expressions, shoulder raising, mouthing gesture, hea

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10

Aliwy, Ahmed H., and Ahmed A. Alethary. "Development of arabic sign language dictionary using 3D avatar technologies." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (2021): 609–16. https://doi.org/10.11591/ijeecs.v21.i1.pp609-616.

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The arabic sign language (ArSL) is the natural language of the deaf community in Arabic countries. ArSL suffers from a lack of resources such as unified dictionaries and corpora. In this work, a dictionary of Arabic language to ArSL has been constructed as a part of a translation system. The Arabic words are converted into hamburg notation system (HamNoSys) using eSign editor Software. HamNoSys was used to create manual parameters (handshape, hand orientation, hand location, and hand movement), while non-manual parameters (facial expressions, shoulder raising, mouthing gesture, head tilting, a

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11

Krammer, Klaudia, Elisabeth Bergmeister, Franz Dotter, et al. "The Klagenfurt database for sign language lexicons." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 191–201. http://dx.doi.org/10.1075/sll.4.1-2.13kra.

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The Klagenfurt database was originally developed as a base for both monolingual and bilingual dictionaries of Austrian Sign Language. The part dealing with the formational features of signs as well as the morphosyntactic and semantic information have already been finished. We decided on an approach using modified versions of Liddell & Johnson’s (1989) Movement-and-Hold model, the HamNoSys (Prillwitz, S. et al. 1989) and the SignPhon category system (Blees, M. et al. 1996).

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Krammer, Klaudia, Elisabeth Bergmeister, Franz Dotter, et al. "The Klagenfurt database for sign language lexicons." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 191–201. http://dx.doi.org/10.1075/sll.4.12.13kra.

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The Klagenfurt database was originally developed as a base for both monolingual and bilingual dictionaries of Austrian Sign Language. The part dealing with the formational features of signs as well as the morphosyntactic and semantic information have already been finished. We decided on an approach using modified versions of Liddell & Johnson’s (1989) Movement-and-Hold model, the HamNoSys (Prillwitz, S. et al. 1989) and the SignPhon category system (Blees, M. et al. 1996).

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13

Joshi, Prof R. B., Shraddha Desale, Himani Gaikwad, Shamali Gunje, and Aditi Londhe. "A Survey on Sign Language Translation Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 519–25. http://dx.doi.org/10.22214/ijraset.2022.41295.

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Abstract: Sign language is a way of communicating using hand gestures, movements and facial expressions, instead of spoken words. It is the medium of communication used by people who are deaf or have hearing impairments to exchange information between their own community and with normal people. In order to bridge the communication gap between people with hearing and speaking disabilities and people who do not use sign language, a lot of research work using machine learning algorithms has been done. Hence, Sign language translator came into picture. Sign Language Translators are generally used

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14

Boyes-Braem, Penny. "A multimedia bilingual database for the lexicon of Swiss German Sign Language." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 133–43. http://dx.doi.org/10.1075/sll.4.1-2.10boy.

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This multimedia database project is the first large-scale collection and description of the signs of Swiss German Sign Language (Deutschschweizerische Gebärdensprache, DSGS). The aim of the database is to gather linguistic information on the DSGS lexicon which can serve as a basis for future dictionaries and teaching materials, as well as function as a tool for linguistic research. For each lexical entry, there is information about all of the sign’s meanings, its morphological and syntactic characteristic, several categories of usage (geographical and generation variation, style, register) as

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15

Boyes-Braem, Penny. "A multimedia bilingual database for the lexicon of Swiss German Sign Language." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 133–43. http://dx.doi.org/10.1075/sll.4.12.10boy.

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This multimedia database project is the first large-scale collection and description of the signs of Swiss German Sign Language (Deutschschweizerische Gebärdensprache, DSGS). The aim of the database is to gather linguistic information on the DSGS lexicon which can serve as a basis for future dictionaries and teaching materials, as well as function as a tool for linguistic research. For each lexical entry, there is information about all of the sign’s meanings, its morphological and syntactic characteristic, several categories of usage (geographical and generation variation, style, register) as

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16

Miller, Christopher. "Section I." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 11–28. http://dx.doi.org/10.1075/sll.4.1-2.04mil.

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Since the original Stokoe notation, many new variants and transcription systems have been proposed: currently, HamNoSys and Stokoe derivatives are most widespread. Sign language research is in real need of a standard of its own. Exchanging data in a standard notation should save authors the time and effort needed to produce photographs, drawings or video captures illustrating data and should allow researchers to present in an explicit form the aspects of the data that are truly relevant for their purposes. Since a notation extracts from the raw data what is of interest to the researcher, it is

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Miller, Christopher. "Section I." Sign Transcription and Database Storage of Sign Information 4, no. 1-2 (2001): 11–28. http://dx.doi.org/10.1075/sll.4.12.04mil.

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Since the original Stokoe notation, many new variants and transcription systems have been proposed: currently, HamNoSys and Stokoe derivatives are most widespread. Sign language research is in real need of a standard of its own. Exchanging data in a standard notation should save authors the time and effort needed to produce photographs, drawings or video captures illustrating data and should allow researchers to present in an explicit form the aspects of the data that are truly relevant for their purposes. Since a notation extracts from the raw data what is of interest to the researcher, it is

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18

Gil-Martín, Manuel, María Villa-Monedero, Andrzej Pomirski, Daniel Sáez-Trigueros, and Rubén San-Segundo. "Sign Language Motion Generation from Sign Characteristics." Sensors 23, no. 23 (2023): 9365. http://dx.doi.org/10.3390/s23239365.

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This paper proposes, analyzes, and evaluates a deep learning architecture based on transformers for generating sign language motion from sign phonemes (represented using HamNoSys: a notation system developed at the University of Hamburg). The sign phonemes provide information about sign characteristics like hand configuration, localization, or movements. The use of sign phonemes is crucial for generating sign motion with a high level of details (including finger extensions and flexions). The transformer-based approach also includes a stop detection module for predicting the end of the generati

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19

Boutet, Dominique, Claudia S. Bianchini, Patrick Doan, et al. "Réflexions sur la formalisation, en tant que système, d’une transcription des formes des Langues des Signes : l’approche Typannot." SHS Web of Conferences 78 (2020): 11001. http://dx.doi.org/10.1051/shsconf/20207811001.

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Transcrire les langues des signes (LS) nécessite de prendre en considération leur nature gestuelle et de comprendre les raisons (parmi lesquelles centration sur les mains et utilisation d’un cadre de référence égocentré) pour lesquelles des systèmes typographiques (HamNoSys, SignWriting) ont échoué à s’imposer comme outil de transcription. La gestualité met en mouvement tous les segments du membre supérieur selon des degrés de liberté, en fonction d’amplitudes particulières et à travers une série de cadres de référence intrinsèque centrée sur chaque segment. Typannot, le système typographique

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20

Begum, Ms Samreen. "Two -Way Communication Using Avatars." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50545.

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Abstract— Deaf and hard-of-hearing individuals primarily rely on sign language, which involves specific hand movements, body language, and facial expressions to communicate. However, inclusivity for this community is still lacking in various sectors, especially in educational institutions like schools and colleges. Students who are hearing-impaired often face difficulties in expressing themselves or understanding lessons in traditional classroom environments, which can lead to feels isolated. In recent years, the development of virtual avatar technology has opened new possibilities for improvi

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21

Haren, Amal, Ann Reny Reema, and Rudra Prathap Boppuru. "Hand Kinesics in Indian Sign Language using NLP Techniques with SVM Based Polarity." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2044–50. https://doi.org/10.35940/ijeat.D8483.049420.

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With the advent of new technology every year, human beings continue to make clever innovations to benefit not only themselves but also those with some kind of impairment. Communication is carried out by talking to each other for regular people, but people who are deaf interact with each other through sign language. Taking this problem into account, we are proposing a methodology that allows to ease the communication with each other by translating speech into sign language. This paper explains a methodology that translates speech into the corresponding Indian Sign Language (ISL). In India, it i

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22

Sugandhi, Kumar Parteek, and Kaur Sanmeet. "Online Multilingual Dictionary Using Hamburg Notation for Avatar-Based Indian Sign Language Generation System." International Journal of Business, Human and Social Sciences 11.0, no. 8 (2018). https://doi.org/10.5281/zenodo.1474397.

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Sign Language (SL) is used by deaf and other people who cannot speak but can hear or have a problem with spoken languages due to some disability. It is a visual gesture language that makes use of either one hand or both hands, arms, face, body to convey meanings and thoughts. SL automation system is an effective way which provides an interface to communicate with normal people using a computer. In this paper, an avatar based dictionary has been proposed for text to Indian Sign Language (ISL) generation system. This research work will also depict a literature review on SL corpus available for v

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23

Marshall, Ian, and Eva Safar. "Sign language generation in an ALE HPSG." Proceedings of the International Conference on Head-Driven Phrase Structure Grammar, October 18, 2004. http://dx.doi.org/10.21248/hpsg.2004.11.

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During the past fifty years sign languages have been recognised as genuine languages with their own syntax and distinctive phonology. In the case of sign languages, phonetic description characterises the manual and non-manual aspects of signing. The latter relate to facial expression and upper torso position. In the case of manual components these characterise hand shape, orientation and position, and hand/arm movement in three dimensional space around the signer's body. These phonetic charcaterisations can be notated as HamNoSys descriptions of signs which has an executable interpretation to

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24

Mami, Amine, Mohamed Elfares Slimani, Taha Zerrouki, and Redha Mazari. "Arabic Algerian Sign Language Translation System Based on 3D Avatar Technology." Nafath 9, no. 28 (2024). https://doi.org/10.54455/mcn2804.

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This work focuses on the creation of tools to help deaf people learn Arabic Algerian Sign Language (ALSL), specifically an automatic translation system with a 3D avatar for accurate and dynamic sign representation. The system encodes ALSL signs using the Notation System Method (NSM), which is principally based on the Hamburg Notation System (HamNoSys). A shallow analysis of the linguistic complexity of ALSL is offered, as well as the obstacles inherent in developing technological solutions to facilitate proper translation. To ensure correctness, the development approach involved working with A

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25

"Sign Language Generation - A survey of techniques." Regular 9, no. 9 (2020): 473–76. http://dx.doi.org/10.35940/ijitee.i7244.079920.

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Sign language is a visual language that uses body postures and facial expressions. It is generally used by hearing-impaired people as a source of communication. According to the World Health Organization (WHO), around 466 million people (5% of the world population) are with hearing and speech impairment. Normal people generally do not understand this sign language and hence there is a communication gap between hearing-impaired and other people. Different phonemic scripts were developed such as HamNoSys notation that describes sign language using symbols. With the development in the field of ar

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26

"Hand Kinesics in Indian Sign Language using NLP Techniques with SVM Based Polarity." International Journal of Engineering and Advanced Technology 9, no. 4 (2020): 2044–51. http://dx.doi.org/10.35940/ijeat.d8483.049420.

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With the advent of new technology every year, human beings continue to make clever innovations to benefit not only themselves but also those with some kind of impairment. Communication is carried out by talking to each other for regular people, but people who are deaf interact with each other through sign language. Taking this problem into account, we are proposing a methodology that allows to ease the communication with each other by translating speech into sign language. This paper explains a methodology that translates speech into the corresponding Indian Sign Language (ISL). In India, it i

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27

González Hernández, Norma, Susan Rodríguez González, Lidia Maria Prado Lopez, and Gabriela Alejandra Lopez Robles. "Parte 2: Manejo de la Alergia a la Proteína de Leche de Vaca." Acta Pediátrica Hondureña, March 31, 2017, 670–80. http://dx.doi.org/10.5377/pediatrica.v7i2.6964.

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La lactancia materna es un excelente factor protector y una forma inigualable de facilitar el alimento ideal para el crecimiento y desarrollo saludable. Es imprescindible su recomendación exclusiva durante los primeros 6 meses de vida y de ser posible continuar con la lactancia materna durante la alimentación complementaria hasta los 2 años de edad; solo se debe recurrir a fórmulas especiales cuando la madre no pueda amamantar. Para estos casos se dispone de varias fórmulas hidrolizadas, soja y elementales. Las fórmulas hidrolizadas pueden ser extensa o parcialmente hidrolizadas, y ser séricas

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