Human-Machine Interface Using Facial Gesture Recognition
Description:
This Master thesis proposes a human-computer interface for individual with limited hand movements that incorporate the use of facial gesture as a means of communication. The system recognizes faces and extracts facial gestures to map them into Morse code that would be translated in English in real time. The system is implemented on a MACBOOK computer using Python software, OpenCV library, and Dlib library. The system is tested by 6 students. Five of the testers were not familiar with Morse code…
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Date:
December 2017
Creator:
Toure, Zikra
Partner:
UNT Libraries