An optimized Generative Adversarial Network based continuous sign language classification-Reference-Cited by-同舟云学术

An optimized Generative Adversarial Network based continuous sign language classification

Published:2021-11 Issue: Volume:182 Page:115276
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Elakkiya R.,Vijayakumar Pandi,Kumar Neeraj

Funder

Science and Engineering Research Board

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference24 articles.

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2. Extricating manual and non-manual features for subunit level medical sign modelling in automatic sign language classification and recognition;Elakkiya;Journal of Medical Systems.,2017

3. Subunit sign modeling framework for continuous sign language recognition;Elakkiya;Computers & Electrical Engineering.,2019

4. Sign language recognition based on adaptive hmms with data augmentation;Guo,2016

5. Online early-late fusion based on adaptive hmm for sign language recognition;Guo;ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),2018

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