The overall goal of this project is to build a word recognizer for American Sign Language video sequences, demonstrating the power of probabilistic models.
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Updated
Mar 16, 2018 - HTML
The overall goal of this project is to build a word recognizer for American Sign Language video sequences, demonstrating the power of probabilistic models.
Set of Hidden Markov Models to recognize words communicated using the American Sign Language
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.
Sign Language Recognition System based on Hidden Markov Models (HMM)
Build a sign language recognition system using Hidden Markov Models
A system that can recognize words communicated using the American Sign Language (ASL)
Udacity AI Nanodegree's Project for a Sign Language Recognizer. This project demonstrates the power of probabalistic models and employs hidden Markov models (HMM's) to analyze a series of measurements taken from videos of American Sign Language (ASL).
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