Implementation and Performance Analysis of Indian Sign Language Recognition on various Computing Devices-Reference-Cited by-同舟云学术

Implementation and Performance Analysis of Indian Sign Language Recognition on various Computing Devices

Published:2021-12-19 Issue: Volume: Page:
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Container-title:2021 IEEE 18th India Council International Conference (INDICON)
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Author:

Rathi Eshaan¹,Luthra Jatin¹,Sharma Abhishek²

Affiliation:

1. The LNM Institute of Information Technology,Department of Communication and Computer Engineering,Jaipur,Rajasthan,India

2. The LNM Institute of Information Technology,Department of Electronics and Communication Engineering,Jaipur,Rajasthan,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9691480/9691481/09691542.pdf?arnumber=9691542

Reference22 articles.

1. A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation;geetha;International Journal of Computational Science and Engineering (IJCSE),2012

2. Conglomeration of hand shapes and texture information for recognizing gestures of Indian sign language using feed forward neural networks;kishore;International Journal of Engineering and Technology,2013

3. Artificial neural network based method for Indian sign language recognition

4. An Efficient Binarized Neural Network for Recognizing Two Hands Indian Sign Language Gestures in Real-time Environment

5. Mudra: Convolutional Neural Network based Indian Sign Language Translator for Banks

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1. An Efficient Real-Time Indian Sign Language (ISL) Detection using Deep Learning;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17