A sign language interpreter using live video feed from the camera.
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Updated
Aug 16, 2020 - Python
A sign language interpreter using live video feed from the camera.
The primary objective of this project is to build a Real-Time Gesture Recognition Model. This model can be proposed as a baseline model for sign interpreter, which automatically converts sign language into written output to make communication for dumb people easy.
An automated ASL interpreter. The project will involve a robotic glove that detects hand movements in order to decipher ASL letters. The letters will be displayed on a LCD.
This project will focus on sign language translation using wearable devices, which is able to help people having troubles with hearing and speaking in real world scenarios 😄
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
Sign2Sound is dedicated to revolutionizing communication for non-verbal individuals by seamlessly translating sign language gestures into understandable speech in real-time. By bridging the gap between sign language users and those unfamiliar with it, Sign2Sound promotes inclusivity and accessibility, ultimately enriching quality of life for all.
A sign language interpreter using live video feed from the camera.
A YOLOv5 model developed from scratch to convey the signs to a blind perosn and can generate the text out from the signs made by mute person. It is a prototype to showcase the possibility on developing a interpreter for mute and blind people.
This project seeks to create a robust platform capable of real-time interpretation of sign language gestures into text.
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