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Russian Sign Language Dactyl Recognition
P. 726–729.
In this paper, we compare several real-time sign language dactyl recognition systems and present a new model based on deep convolutional neural networks. These systems are able to recognize Russian alphabet letters presented as static signs in Russian Sign language used by people from deaf community. In such an approach, we recognize words from Russian natural language presented by consequent hand gestures of each letter. We evaluate our approach on Russian (RSL) sign language, for which we collect our own dataset and evaluate dactyl recognition.
In book
NY: IEEE, 2019.
Burkova S., Kimmelman V., Filimonova E., , in: Number in the World's Languages: A Comparative Handbook.: Berlin: De Gruyter Mouton, 2022. P. 805–828.
Added: June 3, 2026
Burkova S., Khristoforova E., Kimmelman V., , in: Advances in Sign Language Corpus Linguistics.: John Benjamins Publishing Company, 2023. P. 90–129.
This chapter presents the Russian Sign Language (RSL) Corpus and demonstrates
its capabilities as a research tool by summarizing three corpus-based
studies primarily focused on syntactic functions of nonmanual markers.
The first study considers question marking in regular wh-questions and in
question-answer pairs. It shows that the two constructions have very different
nonmanual markers. The second study analyzes marking of ...
Added: June 3, 2026
Буркова С. И., Денисова Е. А., Томский журнал лингвистических и антропологических исследований, Россия 2023 № 4(42) С. 9–22
The article describes the religious vocabulary in Russian Sign Language (RSL). It shows that the effects of
visual modality in sign languages, namely iconicity and the use of space, are clearly expressed in RSL religious
terms. There is also a clear tendency to distribute the mechanisms of direct iconic representation, visual metonymy,
and metaphor to different subgroups of ...
Added: June 2, 2026
Shadrina E. V., Мохова В. О., Загоскин В. А. et al., Нижегородский психологический альманах 2024 № 2
The article considers the problem of learning of recognizing emotions from pictures. A review and analysis of domestic and foreign works of scientists dealing with the problem of emotional intelligence was carried out. Its formation, influence on human activity and existing variants of its structure were considered, and common features in the understanding of emotional ...
Added: April 9, 2026
Vinogradova V., Голецкая М. Н., В кн.: Альманах "Исследуя сообщество глухих: 2".: V-A-C Press, 2025.
В статье рассматриваются современные средства описания языковых профилей носителей жестовых языков. Они могут использоваться в тех областях науки, где ученые ставят перед собой цель оценить отдельные аспекты языкового опыта (например, возраст усвоения или уровень владения языком). Здесь мы рассмотрим широко используемые способы описания языковых профилей в популяциях с высоким уровнем владения двумя или несколькими языками ...
Added: December 15, 2025
Bolshakov N., Колесников В. В., В кн.: Альманах «Исследуя сообщество глухих: 1». [Материалы междисциплинарной конференции «Что значит быть глухим? Новые вызовы для сообщества», Дом культуры «ГЭС-2», Международная лаборатория исследований социальной интеграции Национального исследовательского университета «Высшая школа экономики», май 2023 года].: М.: V–A–С Press, 2024. С. 14–26.
Современные исследования, посвященные глухим и слабослыша- щим людям, а также глухоте в целом, в западных странах принято рассматривать в рамках такого междисциплинарного направле- ния, как Deaf Studies, появившегося во второй половине XX века. На русский язык перевести название этого направления наиболее корректно можно как «исследования сообщества глухих» в широком смысле: охватываются не только глухие и слабослышащие ...
Added: June 6, 2024
Bolshakov N., Макаркин М., Меренкова В. et al., В кн.: Альманах «Исследуя сообщество глухих: 1». [Материалы междисциплинарной конференции «Что значит быть глухим? Новые вызовы для сообщества», Дом культуры «ГЭС-2», Международная лаборатория исследований социальной интеграции Национального исследовательского университета «Высшая школа экономики», май 2023 года].: М.: V–A–С Press, 2024. С. 235–254.
Studies in various countries have addressed the social phenomena of d/Deaf users socialising online: in online spaces, d/Deaf users are able to hide their deafness, establish “weak ties” online (with people they don’t know personally), and acquire access to more information. In Russia, such studies have revealed social networks and messengers to be a very ...
Added: June 6, 2024
Kimmelman V., Komarova A., Luchkova L. et al., Frontiers in Psychology 2022 Vol. 12 Article 740734
When describing variation at the lexical level in sign languages, researchers often distinguish between phonological and lexical variants, using the following principle: if two signs differ in only one of the major phonological components (handshape, orientation, movement, location), then they are considered phonological variants, otherwise they are considered separate lexemes. We demonstrate that this principle ...
Added: September 7, 2023
Makarov I., Bakhanova M., Nikolenko S. et al., PeerJ Computer Science 2022 Vol. 8 Article e865
Depth estimation has been an essential task for many computer vision applications, especially in autonomous driving, where safety is paramount. Depth can be estimated not only with traditional supervised learning but also via a self-supervised approach that relies on camera motion and does not require ground truth depth maps. Recently, major improvements have been introduced ...
Added: February 1, 2022
Krinitskiy M., Alexandrova M., Verezemskaya P. et al., Remote Sensing 2021 Vol. 13 No. 2 Article 326
Total Cloud Cover (TCC) retrieval from ground-based optical imagery is a problem that has been tackled by several generations of researchers. The number of human-designed algorithms for the estimation of TCC grows every year. However, there has been no considerable progress in terms of quality, mostly due to the lack of systematic approach to the ...
Added: September 24, 2021
Dmitrii Maslov, Makarov I., , in: Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I* 1. Vol. 12861.: Springer, 2021. Ch. 38 P. 456–467.
In this paper, we study depth reconstruction via RGB-based, Sparse-Depth, and RGBd approaches. We showed that combination of RGB and Sparse Depth approach in RGBd scenario provides the best results. We also proved that the models performance can be further tuned via proper selection of architecture blocks and number of depth points guiding RGB-to-depth reconstruction. ...
Added: September 1, 2021
Kudriavtseva P., Kashkinov M., Kertész-Farkas A., Journal of Proteome Research 2021 Vol. 20 No. 10 P. 4708–4717
Spectrum annotation is a challenging task due to the presence of unexpected peptide fragmentation ions as well as the inaccuracy of the detectors of the spectrometers. We present a deep convolutional neural network, called Slider, which learns an optimal feature extraction in its kernels for scoring mass spectrometry (MS)/MS spectra to increase the number of ...
Added: August 30, 2021
Makarov I., Nikolay Veldyaykin, Maxim Chertkov et al., , in: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '19).: NY: ACM, 2019. P. 204–210.
Sign languages are the main way for people from deaf community to communicate with other people. In this paper, we have compared several real-time sign language dactyl recognition systems using deep convolutional neural networks. Our system is able to recognize words from natural language gestured using signs for each letter. We evaluate our approach on ...
Added: July 10, 2021