WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"

A sign language interpreter using live video feed from the camera.

Sign Language to Text Conversion is a real-time system that uses a camera to capture hand gestures and translates them into text, words, and sentences using Computer Vision and Machine Learning.

Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.

This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.

(ECCV 2024) SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

TFDS data loaders for sign language datasets.

[ICLR'25] Official Implement of "Uni-Sign: Toward Unified Sign Language Understanding at Scale"

BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues, ECCV 2020

Neural Network that is able to translate any sign language into text.

Slovo: Russian Sign Language Dataset and Models

a text-to-gloss-to-pose-to-video pipeline for spoken to signed language translation

✌️ An ASL fingerspell recognition and semantic pose retrieval interface (arXiv, GitHub, YouTube)

Sign Language Segmentation with Temporal Convolutional Networks (ICASSP'21) and Sign Segmentation with Changepoint-Modulated Pseudo-Labelling (CVPRW'21)

Watch, read and lookup: learning to spot signs from multiple supervisors, ACCV 2020 (Best Application Paper)

Voice to Sign Language Conversion

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

Use this API to make your own Sign Language Recognition Application.