3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo
We present a dataset of Algerian Sign Language (ALSL) used to develop a translation system into a 3D avatar. We used the Notation System Method, which is mostly based on the Hamburg Notation System (HamNoSys), to encode 417 ALSL lexical signs. The data collection process involved collaboration with...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925003002 |
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| author | Taha Zerrouki Mohamed Fares Slimani Amine Mami Redha Mazari |
| author_facet | Taha Zerrouki Mohamed Fares Slimani Amine Mami Redha Mazari |
| author_sort | Taha Zerrouki |
| collection | DOAJ |
| description | We present a dataset of Algerian Sign Language (ALSL) used to develop a translation system into a 3D avatar. We used the Notation System Method, which is mostly based on the Hamburg Notation System (HamNoSys), to encode 417 ALSL lexical signs. The data collection process involved collaboration with ALSL translation experts to ensure the consistency of sign representations.NSM transcribed each sign, capturing essential linguistic features such as hand shape, movement, and facial expressions. The resulting dataset was used for a real-time translation system that converts written Arabic words into sign language represented by a 3D avatar.Applications for the dataset include sign language education and assistive technologies for the deaf community. You can use it to improve systems for automatic sign language translation. The structured and annotated ALSL lexicon that is provided helps with the ongoing development of technologies that allow everyone to communicate and with making more progress in recognizing and synthesizing sign language. |
| format | Article |
| id | doaj-art-e2da209257a941d7a8435703d41fb606 |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-e2da209257a941d7a8435703d41fb6062025-08-20T03:10:25ZengElsevierData in Brief2352-34092025-06-016011156810.1016/j.dib.2025.1115683DZSignDB: 3D avatar SigML data for Algerian sign languageZenodoTaha Zerrouki0Mohamed Fares Slimani1Amine Mami2Redha Mazari3Computer Science department, Faculty of Exact Sciences, Bouira University, Bouira 10000, Algeria; Corresponding author.Department of Mathematics and Computer Science, University of Yahia Fares, Medea 26000, Algeria; Department of Computer Science, M’Hamed Bougara University of Boumerdes, Boumerdes 35000, AlgeriaDepartment of Mathematics and Computer Science, University of Yahia Fares, Medea 26000, AlgeriaDepartment of Mathematics and Computer Science, University of Yahia Fares, Medea 26000, AlgeriaWe present a dataset of Algerian Sign Language (ALSL) used to develop a translation system into a 3D avatar. We used the Notation System Method, which is mostly based on the Hamburg Notation System (HamNoSys), to encode 417 ALSL lexical signs. The data collection process involved collaboration with ALSL translation experts to ensure the consistency of sign representations.NSM transcribed each sign, capturing essential linguistic features such as hand shape, movement, and facial expressions. The resulting dataset was used for a real-time translation system that converts written Arabic words into sign language represented by a 3D avatar.Applications for the dataset include sign language education and assistive technologies for the deaf community. You can use it to improve systems for automatic sign language translation. The structured and annotated ALSL lexicon that is provided helps with the ongoing development of technologies that allow everyone to communicate and with making more progress in recognizing and synthesizing sign language.http://www.sciencedirect.com/science/article/pii/S2352340925003002Arabic Algerian sign language3D avatarHamNoSysDeaf communityTranslation system |
| spellingShingle | Taha Zerrouki Mohamed Fares Slimani Amine Mami Redha Mazari 3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo Data in Brief Arabic Algerian sign language 3D avatar HamNoSys Deaf community Translation system |
| title | 3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo |
| title_full | 3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo |
| title_fullStr | 3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo |
| title_full_unstemmed | 3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo |
| title_short | 3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo |
| title_sort | 3dzsigndb 3d avatar sigml data for algerian sign languagezenodo |
| topic | Arabic Algerian sign language 3D avatar HamNoSys Deaf community Translation system |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925003002 |
| work_keys_str_mv | AT tahazerrouki 3dzsigndb3davatarsigmldataforalgeriansignlanguagezenodo AT mohamedfaresslimani 3dzsigndb3davatarsigmldataforalgeriansignlanguagezenodo AT aminemami 3dzsigndb3davatarsigmldataforalgeriansignlanguagezenodo AT redhamazari 3dzsigndb3davatarsigmldataforalgeriansignlanguagezenodo |