Sign Language Recognizer with Myo
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Updated
Feb 20, 2018 - HTML
Sign Language Recognizer with Myo
A comprehensive table of word-level video sign language datasets
SignLearn is a web application to help people learn sign language through the use of Artificial Intelligence. By using handpose recogition, the signs will be recognized and labeled, eventually leading up to a high accuracy in learning sign language signs.
Implemented normalized, polar and delta feature sets, cross validation folds, Bayesian Information Criterion and Discriminative Information Criterion model selectors, as well as the recognizer in order to detect and translate sign language into text using hidden markov models as part of the Udacity Artificial Intelligence Nanodegree.
An introduction to writing Swedish Sign Language (based on ASLWrite).
Retejo de la projekto PKL (Esperanta-Parola-Kompletigita-Lingvo)
Transcription system for handshapes in Swedish Sign Language.
Search for words and phrases in multiple different sign languages and written languages. Check their definitions, their sign, related images, and much more coming soon.
This is the second portfolio project of Code Institute's Diploma in Full-Stack Software Development course. The second portfolio project uses HTML, CSS, and JavaScript to create an interactive website. The Guess Indian Sign Language Alphabet was chosen as the main idea built on in this project.
Use computer vision techniques to recognize ASL hand gestures. Achieve real-time translation with OpenCV.
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