Signapse is an open source software tool for helping everyday people learn sign language for free!

Signfy is a Video Chat app that incorporates sign language translation to bridge the communication gap between the deaf and hearing communities.

Bachelor Thesis at the Wroclaw University of Science and Technology.

This web-based app detects and interprets sign languages into English words in real-time in order to help speech-impaired individuals communicate with others more easily.

Applied SSD integrated with MobileNet model for object (sign gestures) detection and recognition and the model is trained using Transfer Learning, with the aim to develop a web app for real-time ASL recognition from user input & then to generate text in English.

American Sign Language Recognition

Using yolo-v8 to train on custom dataset for sign language recognition

A real-time American Sign Language (ASL) recognition system

it able to detect ten type USA sign language. which is Okay, Peace, Thumbs up, Thumbs down, Call me, Stop, I Love You, Hello, No, Smile.

A 2D platformer that teaches American Sign Language (ASL) using Leap Motion-powered hand gestures

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

Aplicación que permite traducir lengua de señas a audio y texto.

This program will use gesture detection to help identify common ASL gestures as well as alphabets, translating them into sentences.

Google Home feature that can recognize ASL (American Sign Language) using TensorFlow Lite, MNIST and OpenCV.

Shady Elkholy's graduation project, Arab Open University, Computer science

Sign language gesture recognition is done in two ways. Alphabets are detected from sign language and words are formed using this. The words thus formed is then converted to speech. Another method includes recognizing gestures which include words.

This project involves creating a real-time sign language detection system using CNNs to translate sign language gestures into text. It aims to improve communication accessibility for the hearing-impaired by accurately recognizing and displaying sign language gestures from live video input in real-time.

Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.

GestureGo facilitates bidirectional communication between people with hearing or speech impairments and other people which in turn will lessen the communication gap between them and allowing everyone to understand and be understood.