This project attempts to bridge the gap between the deaf community and the hearing community. Although there exists many different technologies for transcribing voice to text, there only exists a few technologies for interpreting ASL to text. Those solutions are fairly expensive. This solution is inexpensive (one can find a leap for for $25) and open source. Furthermore, we use classical lingusitic theory of sign language to describe different signs.

To setup this ASL-recognition, you must obtain the leap motion SDK and opencv 2.4.12. You can get the leap SDK at https://developer.leapmotion.com/get-started and the opencv sdk at http://opencv.org/downloads.html. You must have at least java 1.7.79. If you have any questions regarding setup, feel free to email me at [email protected]

You can run this program by running the executable jar file ASL-recognition.jar (in the root directory).

The architecture of this program is quite unique.

Programmers
Nicholas Wilkins
Qadir Haqq
Liz & Kyle
Math modelers
Nicholas Wilkins
Bezankeng Njinju
Ryne Beachley
Kevin Ching