Aalghband M., Maghroor H.R., Garibay I., A survey on sign language literature, «Machine, Learning with Applications» 14/2023, https://doi.org/10.1016/j.mlwa.2023.100504.
DOI: https://doi.org/10.1016/j.mlwa.2023.100504
Google Scholar
Adaloglou N., Chatzis T., Papastratis I., Stergioulas A., Papadopulos G.T., ZacharopouloV. et al., A comprehensive study on deep learning-based methods for sign language recognition, «IEEE Transactions on Multimedia» 24/2021, s. 1750–1762.
DOI: https://doi.org/10.1109/TMM.2021.3070438
Google Scholar
Ansari Z.A., Harit G., Nearest neighbour classifcation of Indian sign language gestures using kinect camera, «Sadhana» 41.2/2016, s. 161–182.
DOI: https://doi.org/10.1007/s12046-015-0405-3
Google Scholar
Ardiandyah A., Hitoyoshi B., Halim M., Hanafiah N., Wibisurya A., Systematic literature review: American sign language translator, «Procedia Computer Science» 179/2021, s. 541–549.
DOI: https://doi.org/10.1016/j.procs.2021.01.038
Google Scholar
Bahia N.K., Rai R., Multi-level taxonomy review for sign language recognition: Emphasis on indian sign language, «ACM Transactions on Asian and Low-Resource Language Information Processing» 22.1/2023, s. 1-39.
DOI: https://doi.org/10.1145/3530259
Google Scholar
Bulugu I., Sign language recognition using Kinect sensor based on color stream and skeleton points, «Tanzania Journal of Science» 47.2/2021, s. 769-778.
DOI: https://doi.org/10.4314/tjs.v47i2.32
Google Scholar
Chole A., How banks serve customers with language barriers, «Investor Money» 2024, https://investormoney.com/research/how-banks-serve-customers-with-language-barriers/.
Google Scholar
Czajkowska-Kisil M., Klimczewska A., Rola języka migowego w kształtowaniu tożsamości Głuchych w Polsce, [w:] Tożsamość społeczno-kulturowa Głuchych, red. E. Woźnicka, Łódź 2007.
Google Scholar
Dybiński J. (red.), Prawo bankowe1, Warszawa 2023.
Google Scholar
Forster J., Schmidt C., Hoyoux T., Koller O., Zelle U., Piater J.H. et al., RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus, [w:] Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12), Istanbul 2012.
Google Scholar
Freitas F.A., Peres S.M., Lima C.A., Barbosa F.V., Grammatical facial expression recognition in sign language discourse: a study at the syntax level, «Information Systems Frontiers» 19.6/2017, s. 1243-1259.
DOI: https://doi.org/10.1007/s10796-017-9765-z
Google Scholar
Hryniuk J., Głusi w labiryncie spraw codziennych, Szczecin 2023.
Google Scholar
Joze H.R.V., Koller O., MS-ASL: A large-scale data set and benchmark for understanding American sign language, 2018, https://doi.org/10.48550/arXiv.1812.01053
Google Scholar
Kadous M.W., Temporal classifcation: Extending the classification paradigm to multivariate time series, Kensington 2002.
Google Scholar
Koller O., Forster J., Ney H., Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers, «Computer Vision and Image Understanding» 141/2015, s. 108-125.
DOI: https://doi.org/10.1016/j.cviu.2015.09.013
Google Scholar
Kosiba O., Grenda P., Leksykon języka migowego, Bogatynia 2011.
Google Scholar
Llamzares De Prado J.E., Sign language teaching technological advances and differences in international contexts, «International Journal of Information and Learning Technology» 38.5/2021, s. 433-453.
DOI: https://doi.org/10.1108/IJILT-11-2020-0206
Google Scholar
Martinez A.M., Wilbur R.B., Shay R., Kak A.C., Purdue RVL-SLLL ASL database for automatic recognition of American sign language, [w:] Proceedings. Fourth IEEE International Conference on Multimodal Interfaces, Pittsburgh 2002, s. 167-172.
DOI: https://doi.org/10.1109/ICMI.2002.1166987
Google Scholar
Mehdi S.A., Khan Y.N., Sign language recognition using sensor gloves, [w:] Proceedings of the 9th International Conference on Neural Information Processing, Singapore 2002, ICONIP 02.
DOI: https://doi.org/10.1109/ICONIP.2002.1201884
Google Scholar
Muir L.J., Richardson I.E.G., Perception of Sign Language and Its Application to Visual Communications for Deaf People, «The Journal of Deaf Studies and Deaf Education» 10.4/2005, s. 390-401.
DOI: https://doi.org/10.1093/deafed/eni037
Google Scholar
Ofiarski Z., [w:] Prawo bankowe. Komentarz, Warszawa 2013, art. 58, «Lex».
Google Scholar
Papastratis I., Chatzikonstantinou C., Konstantindis D., Dimitropoulos K., Daras P., Artificial Intelligence Technologies for Sign Language, «Sensors (Basel)» 21.17/2021.
DOI: https://doi.org/10.3390/s21175843
Google Scholar
Piekot T., Zarzeczny G., Moroń E., „Standard „plain language” w polskiej sferze publicznej, [w:] Lingwistyka kryminalistyczna. Teoria i praktyka, red. M. Zaśko-Zielińska, K. Kredens, Wrocław 2019, s. 197-214.
Google Scholar
Pugeault N., Bowden R., Spelling it out: Real-time ASL fingerspelling recognition, Computer vision workshops (ICCV Workshops), [w:] 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona 2011, s. 1114-1119.
DOI: https://doi.org/10.1109/ICCVW.2011.6130290
Google Scholar
Rastgoo R., Kiani K., Escalera S., Sign language recognition: A deep survey, «Expert Systems with Applications» 164/2021, https://doi.org/10.1016/j.eswa.2020.113794.
DOI: https://doi.org/10.1016/j.eswa.2020.113794
Google Scholar
Ren Z., Yuan J., Zhang Z., Robust hand gesture recognition based on finger-earth mover’s distance with a commodity depth camera, [w:] Proceedings of the 19th ACM international conference on multimedia, ACM 2011, s. 1093-1096, https://doi.org/10.1145/2072298.2071946.
DOI: https://doi.org/10.1145/2072298.2071946
Google Scholar
Ronchetti F., Quiroga F., Estrebou C.A., Lanzarini L.C., Rosete A., LSA64: An Argentinian sign language dataset, [w:] Proceedings of the XXII Congreso Argentino de Ciencias de la Computación, 2016, https://arxiv.org/abs/2310.17429.
Google Scholar
Sharma K., Kumar B., Sehgal D., Kaushik A., A comprehensive analysis on technological approaches in sign language recognition: Emergent converging technologies and biomedical systems, [w:] Select proceedings of ETBS 2021, Marriwala N., Tripathi C.C., Jain S., Mathapathi S., Springer 2022, s. 349-361.
DOI: https://doi.org/10.1007/978-981-16-8774-7_29
Google Scholar
Szychowski P., Dostępność aktów normatywnych – zagadnienia problematyczne, Warszawa 2023.
Google Scholar
Wadhawan A., Kumar P., Sign language recognition systems: A decade systematic literature review, «Archives of Computational Methods in Engineering» 28/2021.
DOI: https://doi.org/10.1007/s11831-019-09384-2
Google Scholar
Warchlewska A., Niepełnosprawność a zagrożenie wykluczeniem finansowym, «Finanse i Prawo Finansowe» 2/2014, s. 115-129.
DOI: https://doi.org/10.18778/2391-6478.2.14.09
Google Scholar
William C.S., Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf, «The Journal of Deaf Studies and Deaf Education» 10.1/2005, s. 785-813.
DOI: https://doi.org/10.1093/deafed/eni001
Google Scholar
ZBP, Dobre praktyki obsług osób z niepełnosprawnościami praz banki, III edycja: https://www.zbp.pl/getmedia/7c4c8948-490d-4a97-b8d6-3c1d6b873937/Dobre_praktyki-final
Google Scholar
, Ewa Kowalewska
https://doi.org/10.21697/zp.2025.25.2.06
English
Język Polski