ILAPP: An Efficient Design of Sign Language Recognition System using Intelligent Learning Assisted Prediction Principles-Reference-Cited by-同舟云学术

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ILAPP: An Efficient Design of Sign Language Recognition System using Intelligent Learning Assisted Prediction Principles

Published:2023-12-14 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Radha K.¹,Harikrishnan R.²,Kumar S. Niresh³,L Hubert Mary.⁴,Rajendran N.⁵

Affiliation:

1. Dr.Mahalingam College of Engineering and Technology,Department of CSE,Pollachi, Coimbatore

2. S.A. Engineering College,Department of ECE,Chennai

3. St. Joseph’s College of Engineering,Department of Computer Science and Engineering,Chennai

4. Jeppiaar Institute of Technology,Department of ECE,Chennai

5. B.S. AbdurRahman Crescent Institute of Science and Technology,Department of Information Technology,Vandalur, Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465466.pdf?arnumber=10465466

Reference15 articles.

1. Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review

2. Sign Language Recognition Using Multiple Kernel Learning: A Case Study of Pakistan Sign Language

3. An Artificial Neural Network Classifier for palm Motion categorization based on EMG signal

4. Boundary-Adaptive Encoder With Attention Method for Chinese Sign Language Recognition

5. Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data

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