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Recognition of facial action units from video streams with recurrent neural networks : a new paradigm for facial expression recognition
(University of the Western Cape, 2011)
This research investigated the application of recurrent neural networks (RNNs) for recognition of facial expressions based on facial action coding system (FACS). Support vector machines (SVMs) were used to validate the ...
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 ...
End-to-end single-rate multicast congestion detection using support vector machines
(2008)
IP multicast is an efficient mechanism for simultaneously transmitting bulk data to multiple receivers. Many applications can benefit from multicast, such as audio and videoconferencing, multi-player games, multimedia ...
Robust recognition of facial expressions on noise degraded facial images
(University of the Western Cape, 2011)
We investigate the use of noise degraded facial images in the application of facial expression recognition. In particular, we trained Gabor+SVMclassifiers to recognize facial expressions images with various types of noise. ...
A robust audio-based symbol recognition system using machine learning techniques
(University of the Western Cape, 2020-02)
This research investigates the creation of an audio-shape recognition system that is able to interpret a user’s drawn audio shapes—fundamental shapes, digits and/or letters— on a given surface such as a table-top using a ...