SignLanguageRecognition and Sign-Language-Recognition

These are competitors offering similar real-time sign language recognition pipelines using MediaPipe, with the primary difference being that one specializes in German Sign Language (DGS) while the other provides a more general-purpose system using MobileNetV2 for broader sign language translation.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 6/25
Adoption 6/25
Maturity 16/25
Community 15/25
Stars: 137
Forks: 33
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 18
Forks: 5
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: AGPL-3.0
Stale 6m No Package No Dependents
No Package No Dependents

About SignLanguageRecognition

Tachionstrahl/SignLanguageRecognition

Real-time Recognition of german sign language (DGS) with MediaPipe

This project offers an experimental system for real-time recognition of German Sign Language (DGS). It processes live video input of a person signing and aims to predict the specific DGS signs being made. The system is designed for researchers or developers exploring the challenges of live sign language subtitling.

sign-language-research assistive-technology human-computer-interaction real-time-video-analysis

About Sign-Language-Recognition

talfig/Sign-Language-Recognition

Sign language recognition system using MobileNetV2 architecture and MediaPipe, accurately translating video inputs and live camera feeds into defined sign language with OpenCV.

This tool helps individuals and organizations translate sign language gestures into text in real-time. By capturing video from a camera or file, it identifies hand movements and outputs the corresponding sign. It is designed for anyone needing to interpret or learn sign language, such as educators, communication specialists, or family members.

sign-language-interpretation communication-support accessibility-tools educational-aid real-time-translation

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