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Handy makes defining and recognizing custom hand poses in WebXR a snap!
Real-time AI-powered translation of American Sign Language fingerspelling (sign to text)
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
Sign Language Recognition using WiFi and Convolutional Neural Networks
Real-time fingerspelling video recognition achieving 92.7% letter accuracy on FSBoard
World Level American Sign Language Recognition and Translation to Spoken Language
A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals
Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟
The application is developed using Python3, OpenCV and with concepts of Neural Networks it is trained on DarkNet 53 and for the real time object detection I am using Yolo v3. It detects the 1 hand representation of number 1-10 which will be pointed by the user in real time using American Sign Language
A real-time American Sign Language (ASL) detection system using computer vision and deep learning. This project uses a combination of OpenCV, MediaPipe, and TensorFlow to detect and classify ASL hand signs from camera input. The system can recognize a wide range of ASL characters, and can be used to facilitate communication for sign language users.
American Sign Language Detection Android App using SSD_Mobilenet | Google Colab
An Android Application that uses gesture recognition to understand alphabets of american sign language
communication application to make Complete conversation with deaf people
Sign language recognition, using multihand tracking solution from Mediapipe, along with Speech recognition and Text to Speech to deliver an Android App for deaf mute people
🧏 Detection of the alphabets in American Sign Language (ASL).
A simple sign language recognizer using SVM
A comprehensive table of word-level video sign language datasets
Recognise and Learn American Sign Language
Portable sign language (ASL) recognition device that utilizes real-time and efficient programming to help mute and deaf by establishing two-way communication channel with people who have never studied sign language.
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