Now showing items 1-4 of 4
South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning
(University of the Western Cape, 2017)
In order to classify South African Sign Language as a signed gesture, five fundamental parameters need to be considered. These five parameters to be considered are: hand shape, hand orientation, hand motion, hand location ...
A comparison of machine learning techniques for hand shape recognition
(University of the Western Cape, 2015)
There are five fundamental parameters that characterize any sign language gesture. They are hand shape, orientation, motion and location, and facial expressions. The SASL group at the University of the Western Cape has ...
Robust South African sign language gesture recognition using hand motion and shape
Research has shown that five fundamental parameters are required to recognize any sign language gesture: hand shape, hand motion, hand location, hand orientation and facial expressions. The South African Sign Language ...
Hand shape estimation for South African sign language
(University of the Western Cape, 2012)
Hand shape recognition is a pivotal part of any system that attempts to implement Sign Language recognition. This thesis presents a novel system which recognises hand shapes from a single camera view in 2D. By mapping the ...