A real-time approach to recognition of Turkish sign language by using convolutional neural networks-Reference-Cited by-同舟云学术

A real-time approach to recognition of Turkish sign language by using convolutional neural networks

Published:2021-11-11 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Güney Selda^ORCID,Erkuş Mehmet

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06664-6.pdf

Reference40 articles.

1. Wadhawan A, Kumar P (2020) Deep Learning Based Sign Language Recognition System for Static Signs. Neural Comput Appl 32:7957–7968. https://doi.org/10.1007/s00521-019-04691-y

2. Sadeddine K, Chelali ZF, Djeradi R, Djeradi A, Benabderrahmane S (2021) Recognition of user-dependent and independent static hand gestures: Application to sign language. J Vis Commun Image Represent 79(103193):1047–3203. https://doi.org/10.1016/j.jvcir.2021.103193

3. Vogler C, Metaxas D (1998) ASL recognition based on a coupling between HMMs and 3D motion analysis. In Proc IEEE Int Conf Comput Vision. https://doi.org/10.1109/iccv.1998.710744

4. Starner T, Mann S, Rhodes B, Healey J, Russell KB, Levine J, & Pentland A (1995) Wearable Computing and Augmented Reality. M.I.T. Media Lab Vision and Modeling Group Technical Report.

5. Dong C, Leu MC, Yin M (2015) American Sign Language alphabet recognition using Microsoft Kinect, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). doi: https://doi.org/10.1109/CVPRW.2015.7301347

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