Real-Time Mexican Sign Language Interpretation Using CNN and HMM-Reference-Cited by-同舟云学术

Real-Time Mexican Sign Language Interpretation Using CNN and HMM

Published:2021 Issue: Volume: Page:55-68
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
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Author:

Ramírez Sánchez Jairo Enrique^ORCID,Rodríguez Arely Anguiano^ORCID,Mendoza Miguel González^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-89817-5_4

Reference27 articles.

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2. Ordóñez, E.: Asociación de intérpretes en lengua de señas del distrito federal: Número de intérpretes de lengua de señas en México (2015)

3. Rashed, J.R.: New Method for Hand Gesture Recognition Using Wavelet Neural Network (2017)

4. Ben Jmaa, A., Mahdi, W., Ben Jemaa, Y., Ben Hamadou, A.: A new approach for hand gestures recognition based on depth map captured by RGB-D camera. Computacion y Sistemas 20, 709–721 (2016)

5. Dong, C., Leu, M.C., Yin, Z.: American Sign Language alphabet recognition using Microsoft Kinect. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Volume 2015, pp. 44–52. IEEE Computer Society, October 2015

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