awesome-signs
github.com/serious-games-darmstadt/awesome-signs ↗This repository represents an overview of our research in sign language recognition. Some of the linked repositories are private, so please contact me if there is interest in this data.
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Sign RecognitionStudent ThesesOthers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me handshape recognition resources from awesome-signs"
Installation instructions →What's inside
Sign Recognition
- 5 and 25 different static handshapes of Rock-Paper-Scissors, recorded with a Senso Glove: DK2 data gloveHandshape Recognition
- 62 different static and 2 dynamic handshapes from ASL-LEX, recorded with Manus Prime X data gloveHandshape Recognition
- ASL-LEX with over 2,700 signsSigns and Parametrizations
- ASL Sign Database based on ASL-LEX (see below) with focus on parameterizationSigns and Parametrizations
- DownloadSigns and Parametrizations
- Fingerspelling.xyzAwesome Tools
Student Theses
- Augmenting Wearable Sensor Data For Sign Language Recognition
- Automatic generation of a parametric sign lexicon with MediaPipe
- Classification of hand gestures using MediaPipe with qualitative feedback
- Classification of signs according to Battison based on their articulatory complexity
- Comparing the suitability of Decision Tree classifier and Support Vector Machines for hand gesture recognition
- Dancing with the gloves on: Using data gloves and arm controllers to teach the Macarena
Showing a sample of 60 resources. View the full list on GitHub →