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