Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
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2. <strong>Recognition</strong> <strong>of</strong> Action Units (AUs) from model parameter values<br />
Details on the analysis<br />
- Conditioned probability tables contain values taken from 485 training samples<br />
- Each sample is a 22 size vector<br />
- The network contains 2 parameters; each parameter is represented by using one input neuron.<br />
- The network has three layers. The first layer contains 30 input neurons. The third layer contains 22<br />
output neurons and gives the possibility to encode the presence/absence <strong>of</strong> all the 22 AUs.<br />
<strong>Recognition</strong> results on different network topologies.<br />
Learning error graphs.<br />
30:35:3, 4500 training steps, 0.03 learning .rate 77.11 % AU recognition<br />
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