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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ANN experiment<br />
Back Propagation Neural Network ANN experiments<br />
1. <strong>Recognition</strong> <strong>of</strong> <strong>facial</strong> <strong>expressions</strong> 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 10 size vector<br />
- The network contains 10 parameters, each parameter has 7 states and its value is<br />
represented by using 3 input neurons.<br />
- The network has three layers. The first layer contains 30 input neurons. The third layer<br />
contains 3 output neurons and gives the possibility to represent the values associated to<br />
the 6 basic expression classes.<br />
<strong>Recognition</strong> results on different network topologies.<br />
Learning error graphs.<br />
30:15:3, 10000 training steps, 0.02 learning .rate 99.59% <strong>facial</strong> expression recognition<br />
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