A sign language interpreter using live video feed from the camera.
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Updated
Apr 18, 2024 - Python
A sign language interpreter using live video feed from the camera.
Sign Language Gesture Recognition From Video Sequences Using RNN And CNN
Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).
Indian Sign language Recognition using OpenCV
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
Simple Sign Language Detector
Real-time Recognition of german sign language (DGS) with MediaPipe
Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.
We help the deaf and the dumb to communicate with normal people using hand gesture to speech conversion. In this code we use depth maps from the kinect camera and techniques like convex hull + contour mapping to recognise 5 hand signs
Sign Language Alphabet Detection and Recognition using YOLOv8
A simple sign language detection web app built using Next.js and Tensorflow.js. 2020 Congressional App Challenge. Winner! Developed by Mahesh Natamai and Arjun Vikram.
A computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures.
American Sign Language Character Recognition
SAM-SLR-v2 is an improved version of SAM-SLR for sign language recognition.
(SANKET) A Cross-platform App that translates Any Sign language gestures into text or voice in real-time, making communication more accessible and inclusive for specially-abled people.
🙌 A collection of awesome Sign Language projects and resources 🤟
A Sign Language Learning Platform where who know sign language can come and practice Sign Language and also people who don't know can learn through this
Sign Language Translator enables the hearing impaired user to communicate efficiently in sign language, and the application will translate the same into text/speech. The user has to train the model, by recording its own sign language gestures. Internally it uses MobileNet and KNN classifier to classify the gestures.
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