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A pattern recognition model for static gestures in malaysian sign language based on machine learning techniques

  • Published:2021-10 Issue: Volume:95 Page:107383
  • ISSN:0045-7906
  • Container-title:Computers & Electrical Engineering
  • language:en
  • Short-container-title:Computers & Electrical Engineering

Author:

Alrubayi Ali.H.,Ahmed M.A.,Zaidan A.A.,Albahri A.S.,Zaidan B.B.,Albahri O.S.,Alamoodi A.H.,Alazab Mamoun

Funder

Nvidia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Sign language recognition using wearable electronics: implementing k-nearest neighbors with dynamic time warping and convolutional neural network algorithms;Saggio;Sensors,2020

2. Image-based and sensor-based approaches to Arabic sign language recognition;Mohandes;IEEE Trans Human-Machine Syst,2014

3. A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017;Ahmed;Sensors,2018

4. Recognition of Malaysian sign language using skeleton data with neural network;Majid,2015

5. Vision-based sign language recognition system: A Comprehensive Review;Sharma,2020

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