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SIGN LANGUAGE RECOGNITION: BRIDGING COMMUNITIES analyzes recognition systems for American, Russian, Indian, Arabic, and Chinese Sign Languages, revealing
Система распознавания жестов русского языка глухих of the Russian Sign Language. The authors
propose an information model of dactyl gesture
recognition
Recognition of English and German borrowings in the Russian language (Based on lexical borrowings in the field of economics) of English and German on the Russian language during the English learning based on lexical borrowings
Automation of the translation of Russian sign language into textThis article is devoted to setting the task of
automation of recognition of gestures of Russian
Recognition of English and German borrowings in the Russian language (Based on lexical borrowings in the field of economics) of English and German on the Russian language during the English learning based on lexical borrowings
Автоматизированная система создания рукописных документов and tools
for handwriting recognition and synthesis for any
underscores.
Automatic transformation of Russian manual-alphabet gestures into textual formThis paper considers the task of sign-language interpretation for gestures that are used
Research on Chinese sign language recognition based on skeleton features vision. The main research content of this thesis is Chinese letter sign language recognition based
Automatic transformation of russian manual alphabet to digital textThe problem of sign language translation is considered for a set of gestures used in Russian manual
Лексикографическое описание русского жестового языка (к постановке проблемы) the author comes to the conclusion that due to the official recognition of the Russian Sign Language
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