ucaiado/SignLgRecognizer

Building a sign language recognition system using AI

Sign Language Recognition System

In this project, I will building a sign language recognition system using AI. Bla ... bla. This project is part of the Artificial Intelligence Nanodegree program, from Udacity. You can check my report here

Install

This project requires Python 3 and the following Python libraries installed:

• NumPy
• SciPy
• scikit-learn
• pandas
• matplotlib
• jupyter
• hmmlearn

Run

In a terminal or command window, navigate to the top-level project directory AIND_recognizer/ (that contains this README) and run one of the following command:

    $ jupyter notebook asl_recognizer.ipynb

This will open the Jupyter Notebook software and notebook in your browser which is where you will directly edit and run your code. Follow the instructions in the notebook for completing the project.

Data

Take a look here to see more details about the datasets used in this project.

References

1. Udacity original code. link
2. Biem, Alain. "A model selection criterion for classification: Application to hmm topology optimization." In Document Analysis and Recognition, 2003. link

License

The contents of this repository are covered under the MIT License.