Publisher
Springer Nature Singapore
Reference17 articles.
1. According to WHO: Over 5% of the world’s population—or 430 million people—require rehabilitation to address their ‘disabling’ hearing loss (432 million adults and 34 million children), https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss. Last accessed: 14 June 2021
2. Karmokar BC, Alam KR, Kibria Siddiquee M (2012) Bangladeshi sign language recognition employing neural network ensemble. Int J Comput Appl 58: 43–46
3. Islalm MS, Moklesur Rahman M, Rahman M, Arifuzzaman M, Sassi R, Aktaruzzaman M (2019) Recognition Bangla sign language using convolutional neural network. In: 2019 international conference on innovation and intelligence for Informatics, Computing, and Technologies (3ICT), 1–6
4. Shanta SS, Anwar St, Rayhanul Kabir M (2018) Bangla sign language detection using SIFT and CNN. In: 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 1–6
5. Islam S, Mousumi SSS, Shahariar Azad Rabby AKM, Hossain SA, Abujar S (2018) A potent model to recognize Bangla sign language digits using convolutional neural network. Proc Comput Sci 143: 611–618