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Recognition of facial expressions - Knowledge Based Systems ...

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Once executed, the tool recurrently searched for files having the extension “KH” in a<br />

specified directory given as call parameter for the console application. For each file<br />

found, the application loads the content into the memory by storing the coordinates <strong>of</strong> the<br />

FCPs.<br />

For each sample, it further applies a set <strong>of</strong> computations in order to determine the value<br />

<strong>of</strong> the parameters (Table 7), given the adopted processing model (Figure 17).<br />

For the conducted experiment, no dynamic parameters were involved, since there were no<br />

data concerning the temporal variability available. However, the initial design included a<br />

general functional model that consisted also in a set <strong>of</strong> dynamic characteristics. For the<br />

results presented in the project report, there were also no values encoding the behavior <strong>of</strong><br />

the parameters related to the forehead, chin and nasolabial areas. Instead, an additional<br />

set <strong>of</strong> experiments was run for analyzing the influence <strong>of</strong> those parameters.<br />

Table 7. The set <strong>of</strong> parameters and the corresponding <strong>facial</strong> features<br />

The values <strong>of</strong> the parameters were initially considered real numbers. After the<br />

discretization process was finished, all the parameter values consisted in integer values.<br />

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