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American Sign Language Pose Recognition

Real Time Classification

A classification scheme is implemented using Ecole Centrale Paris's RFLib.

Leap Motion Controller

We used the Leap Motion Controller and it's respective API (https://developer.leapmotion.com/documentation/cpp/api/Leap_Classes.html) in order to accurately recognize and classify letters of the American Sign Language (ASL) alphabet.

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Demo

Click on the link below for a video demo of our work:

Demo of our work

Limitations

For the purposes of this project, we did not include the letters 'J' and 'Z' because they are "dynamic", meaning that their sign language representation requires movement as opposed to the rest of the letters in the alphabet which are "static"

Publication

Our work has been accepted to ICIP 2017, which will take place September 17-20, 2017 in Beijing, China. Details can be found here

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Repo for gesture recognition for sign language.

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