A Spatio-Temporal Framework for Dynamic Indian Sign Language Recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10730-8.pdf
Reference27 articles.
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2. Wadhawan, A., & Kumar, P. (2021). Sign language recognition systems: a decade systematic literature review. Archives of Computational Methods in Engineering, 28(3), 785–813. https://doi.org/10.1007/s11831-019-09384-2
3. Moreira Almeida, S. G., Guimarães, F. G.& Arturo Ramírez, J. (2014). Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors. Expert Systems with Applications, 41(16), 7259–7271. https://doi.org/10.1016/j.eswa.2014.05.024.
4. Sharma, S., & Singh, S. (2021). Recognition of indian sign language (ISL) using deep learning model. Wireless Personal Communications. https://doi.org/10.1007/s11277-021-09152-1
5. Abhishek, K. S., Qubeley, L. C. F., & Ho, D. (2016). Glove-based hand gesture recognition sign language translator using capacitive touch sensor. In: 2016 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC), Aug. 2016, pp. 334–337. https://doi.org/10.1109/EDSSC.2016.7785276.
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