Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
BBN experiment 4<br />
“Facial expression recognition starting form the value <strong>of</strong> parameters”<br />
Details on the analysis<br />
- Conditioned probability tables contain values taken from 485 training samples.<br />
- Each sample is a 22+10 size vector containing all the analyzed Action Units and the 10<br />
parameter values.<br />
- The network contains one parameter for expression recognition + 22 parameters for<br />
encoding<br />
- Aus , each parameter has 2 states (present/absent) + 10 parameters for dealing with the<br />
value <strong>of</strong> the model analyzed parameters, 8 states<br />
- Each <strong>of</strong> the 10 model parameters takes values in interval [1..8].<br />
The topology <strong>of</strong> the network<br />
- 94 -