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
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.
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.
Google Home feature that can recognize ASL (American Sign Language) using TensorFlow Lite, MNIST and OpenCV.
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.
Shady Elkholy's graduation project, Arab Open University, Computer science
This program will use gesture detection to help identify common ASL gestures as well as alphabets, translating them into sentences.
This repo contains the code for sign-language-recognition as part of our final year project.
A real-time detection system for sign language alphabets and numeric gestures using MediaPipe and a Convolutional Neural Network (CNN). Features hand landmark detection, classification, and real-time feedback.
Converting Sign Language to text using OpenCv and Machine learning algorithms
This repository is part of the "learnSign" project that is under development and will be submitted for the award of Degree of Bachelor of Technology in Computer Science and Engineering from Rajasthan Technical University, Kota (India).
This rapo include Turkish sign language dataset
Hebrew sign language real time recognition using CNN, Keras & OpenCV.
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