Real Time Air-Writing and Recognition of Tamil Alphabets Using Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3932-9_13
Reference11 articles.
1. Alam MdS, Kwon K-C, Alam MdA, Abbass MY, Imtiaz SM, Kim N (2020) Trajectory-based air-writing recognition using deep neural network and depth sensor. Sensors 20:376
2. Vaidya, V., Pravanth, T., Viji, D.: Air writing recognition application for dyslexic people. In: 2022 International Mobile and Embedded Technology Conference (MECON), pp. 553–558, Noida, India (2022).
3. Chen, M., AlRegib, G., Juang, B.-H.: Air-writing recognition—part ı: modeling and recognition of characters, words, and connecting motions. IEEE Trans. Human-Machine Systems 46(3), 403–413 (2016)
4. Chen, M., AlRegib, G., Juang, B.-H.: Air-writing recognition—part ıı: detection and recognition of writing activity in continuous stream of motion data. IEEE Trans. Human-Machine Syst. 46(3), 436–444 (2016)
5. Baig, F., Fahad Khan, M., Beg, S.: Text writing in the air. J Information Display 14(4), 137–148 (2013)
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