Machine Learning for Hand Gesture Recognition Applied to LIBRAS (Brazilian Sign Language)

An application that uses Machine Learning capable of judging with precision if the gesture made with the hand is ornot a vowel of the Brazilian Sign Language, through a webcam.

Demostration 🖖

Links 🔗

• 📃Clique aqui para ler o relatório 🇧🇷
• 📃Click here to read the report 🇺🇸
• 📽Click here to view the presentation 🇧🇷 🇺🇸

To Run 💻

• In your shell:

#  Clone this repository:
git clone https://github.com/ericxlima/Hand_Gestures_LIBRAS.git

#  Entry in Directory:
cd Hand_Gestures_LIBRAS

        #  Activate your virtual environment

#  Install all requirements
pip3 install -r requirements.txt

#  Run the application
python3 main.py

Keys ⌨️

Key	Description
Q	Quit Window
space	Classify Gesture
A	Add gesture to label "A" of the Training Database
E	Add gesture to label "E" of the Training Database
I	Add gesture to label "I" of the Training Database
O	Add gesture to label "O" of the Training Database
U	Add gesture to label "U" of the Training Database

Authors 👥

Eric de Lima	Michel Leonidas