An Intelligent Kurdish Sign Language Recognition System Based on Tuned CNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42979-022-01394-5.pdf
Reference25 articles.
1. Elatawy SM, Hawa DM, Ewees AA, Saad AM. Recognition system for alphabet Arabic sign language using neutrosophic and fuzzy c-means. Educ Inf Technol. 2020;25(6):5601–16. https://doi.org/10.1007/s10639-020-10184-6.
2. Rastgoo R, Kiani K, Escalera S. Sign language recognition: a deep survey. Expert Syst Appl. 2021;164(July 20200):113794. https://doi.org/10.1016/j.eswa.2020.113794.
3. Aloysius N, Geetha M. Understanding vision-based continuous sign language recognition. Multimed Tools Appl. 2020;79(31–32):22177–209. https://doi.org/10.1007/s11042-020-08961-z.
4. Nurena-Jara R, Ramos-Carrion C, Shiguihara-Juarez R. Data collection of 3D spatial features of gestures from static Peruvian sign language alphabet for sign language recognition. In: Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020, 2020; pp. 3–6. https://doi.org/10.1109/EIRCON51178.2020.9254019.
5. Hasan MM, Srizon AY, Sayeed A, Hasan MAM. Classification of Sign language characters by applying a deep convolutional neural network. In: ICCIT 2020 - 23rd International Conference on Computer and Information Technology, Proceedings, no. November, 2020; pp. 28–29. doi: https://doi.org/10.1109/ICCIT51783.2020.9392703.
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