This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

Related tags

Deep Learningcnnmhisignlanguagerecognition
Overview

Vietnamese sign lagnuage recognition using MHI and CNN

This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN. We have 6 classes for most basic vocabolary disabled people need in daily life :

  • Uống (Drink)
  • Đói (Hungry)
  • Vui (Happy)
  • Giận (Angry)
  • Tôi (Me)
  • and class None for indicating no actions.

Requirements

Python3
Numpy
Tensorflow
Keras
opencv
Matplotlib
Seaborn

Owner
Phat Pham
Phat Pham
GitHub Repository
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