In this project, I built a system that can recognize words communicated using the American Sign Language (ASL). I was provided a preprocessed dataset of tracked hand and nose positions extracted from video. My goal was to train a set of Hidden Markov Models (HMMs) using part of this dataset to try and identify individual words from test sequences.
python jupyter anaconda notebook artificial-intelligence hidden-markov-model hmmlearn sign-language-recognizer
- Updated
May 22, 2017 - HTML