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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.
https://github.com/serious-games-darmstadt/awesome-signs
- Sign Recognition Tool
- ASL Sign Database based on ASL-LEX (see below) with focus on parameterization
- Github Repository
- Parser to find differences between ASL-LEX website data and download data
- Tool to add hand orientation to ASL-Lex
- Sign Recordings
- ext
- Github Repository
- Download
- ext
- Github Repository
- Download
- ext
- Github Repository
- Tool to classify handshapes and compare accuracy of 8 different classifiers
- Predecessor tool, here still with the possibility to classify data from Leap Motion in addition to data glove data
- 5 and 25 different static handshapes of Rock-Paper-Scissors, recorded with a *Senso Glove: DK2* data glove
- 62 different static and 2 dynamic handshapes from ASL-LEX, recorded with *Manus Prime X* data glove
- Source files
- Tool to visualize recorded handshapes
- ext
- ext
- ext
- Design and implementation of a finger gesture controlled game
- Detection of basic hand shapes by using electromyography under consideration of different configurations
- Development and evaluation of two approaches for recognition of primitive hand gestures using a Leap Motion Controller
- Design and implementation of a mechanomyography controller to recognize simple finger gestures
- Comparing the suitability of Decision Tree classifier and Support Vector Machines for hand gesture recognition
- Recognition of gesture movement, orientation and location using IMUs and Inverse Kinematics
- Github Repository
- Recognition and classification of handshapes of American finger alphabet
- Github Repository
- Towards sign parametrization by using MediaPipe
- Github Repository
- Towards arm posture detection using sensor fusion and extended Kalman filter
- Github Repository
- Predecessor work
- Augmenting Wearable Sensor Data For Sign Language Recognition
- Github Repository
- Classification of signs according to Battison based on their articulatory complexity
- Github Repository
- Github Repository
- Classification of hand gestures using MediaPipe with qualitative feedback
- Github Repository
- Automatic generation of a parametric sign lexicon with MediaPipe
- Github Repository
- IMU data segmentation for pose recognition in sign language
- Github Repository
- Dancing with the gloves on: Using data gloves and arm controllers to teach the Macarena
- Github Repository
- Extraction and Augmentation of Sensor Data from Video Material using MediaPipe
- Github Repository
- Live Classification of Battison’s Sign Types
- Github Repository
- Developing a system for determining the location of signs by using IMUs and forward kinematics
- Github Repository
- template here - darmstadt.de/serious-games/lehre_sg/abschlussarbeiten_sg/index.de.jsp).
- Different graphics and visualizations of signs, handshapes, ...
- Camera controlled browser games to learn sign language
- Github Repository
- MediaPipe recoding tool for browser
Programming Languages