A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier-Reference-Cited by-同舟云学术

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A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier

Published:2023-03 Issue: Volume:213 Page:118914
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Das Sunanda^ORCID,Imtiaz Md. Samir^ORCID,Neom Nieb Hasan,Siddique Nazmul^ORCID,Wang Hui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Bangla sign language recognition using concatenated BdSL network;Abedin,2021

2. Hand sign to bangla speech: A deep learning in vision based system for recognizing hand sign digits and generating bangla speech;Ahmed,2019

3. How does hand gestures in videos impact social media engagement-Insights based on deep learning;Anand;International Journal of Information Management Data Insights,2021

4. Bengali sign language recognition using dynamic skin calibration and geometric hashing;Aziz,2017

5. A new 2D static hand gesture colour image dataset for ASL gestures;Barczak,2011

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