A deep learning based approach for Arabic Sign language alphabet recognition using electromyographic signals.
Amina Ben Hej AmorOussama El GhoulMohamed JemniPublished in: ICTA (2021)
Keyphrases
- deep learning
- sign language
- sign language recognition
- emg signals
- gesture recognition
- unsupervised learning
- unsupervised feature learning
- machine learning
- hand gestures
- sign recognition
- weakly supervised
- human computer interaction
- mental models
- image processing
- named entities
- dimensionality reduction
- expert systems
- training data