Indonesian Dynamic Sign Language Recognition at Complex Background with 2D Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Indonesian Dynamic Sign Language Recognition at Complex Background with 2D Convolutional Neural Networks

Published:2016 Issue: Volume: Page:91-98
ISSN:1876-1100
Container-title:Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015)
language:
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Author:

Sugianto Nehemia,Yuwono Elizabeth Irenne

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-287-988-2_9

Reference7 articles.

1. World Health Organization.: Media Centre Fact Sheets on Deafness and Hearing Loss (2015)

2. Kyatanavar, R.D., Futane, P.R.: Comparative study of sign language recognition systems. Int. J. Sci. Res. Publ. 2(16) (2012)

3. Cooper, H., Ong, E.J., Pugeault, N., Bowden, R.: Sign language recognition using sub-units. J. Mach. Learn. Res. 13(1), 2205–2231 (2012)

4. Memis, A., Albaryak. S.: A kinect based sign language recognition system using spatio-temporal features. In: Proceedings of SPIE (The International Society for Optical Engineering) (2013)

5. Pigou, L., Dieleman, S., Kindermans, P., Schrauwen, B.: Sign language recognition using convolutional neural networks. Lect. Notes Comput. Sci. 8925, 572–578 (2015)

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1. Application of Deep Learning Techniques on Sign Language Recognition—A Survey;Data Management, Analytics and Innovation;2021

2. Automatic Recognition of ISL Dynamic Signs with Facial Cues;Advances in Intelligent Systems and Computing;2021

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