https://github.com/asvcode/build-a-sign-language-recognizer
Building a system that can recognizes words communicated using the American Sign Language (ASL) using a dataset that contains tracked hand and nose positions extracted from video. The goal is to train a set of Hidden Markov Models (HMMs) using part of this dataset to try and identify individual words from test sequences.
https://github.com/asvcode/build-a-sign-language-recognizer
Last synced: 3 months ago
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Building a system that can recognizes words communicated using the American Sign Language (ASL) using a dataset that contains tracked hand and nose positions extracted from video. The goal is to train a set of Hidden Markov Models (HMMs) using part of this dataset to try and identify individual words from test sequences.
- Host: GitHub
- URL: https://github.com/asvcode/build-a-sign-language-recognizer
- Owner: asvcode
- Created: 2018-01-08T23:10:43.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-01-08T23:15:16.000Z (over 7 years ago)
- Last Synced: 2025-02-10T21:45:06.635Z (4 months ago)
- Language: Jupyter Notebook
- Size: 99.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0