Sign Language Digit Detection with MediaPipe and Machine Learning Algorithm-Reference-Cited by-同舟云学术

Sign Language Digit Detection with MediaPipe and Machine Learning Algorithm

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 12th International Conference on Control System, Computing and Engineering (ICCSCE)
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Author:

Salim Safyzan¹,Jamil Muhammad Mahadi Abdul¹,Ambar Radzi¹,Roslan Rozaini²,Kamardan Muhammad Ghazali²

Affiliation:

1. Biomedical Modelling and Simulation (BIOMEMS) Research Group, Universiti Tun Hussein Onn Malaysia,Faculty of Electric and Electronic Engineering,Batu Pahat,Johor,Malaysia,86400

2. Universiti Tun Hussein Onn Malaysia,Faculty of Applied Sciences and Technology,Department of Mathematics and Statistics,Muar,Johor,Malaysia,84600

Funder

Ministry of Higher Education (MOHE)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935572/9935579/09935659.pdf?arnumber=9935659

Reference25 articles.

1. Applications of Machine Learning and High-Performance Computing in the Era of COVID-19

2. Implementation of image processing tools for real-time applications;bapurao;2021 International Research Journal of Engineering and Technology,2021

3. Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread

4. Computer vision system for food quality evaluation — A review

5. Real-time Bhutanese Sign Language digits recognition system using Convolutional Neural Network

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3. Sign Language Recognizer: A Deep Learning Approach;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05