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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Figure 19. System functionality<br />
The initial design idea specified the working <strong>of</strong> the system as for regular conditions. In<br />
order to have the system working in a common environment on video capturing, it was<br />
required to have a reliable module for feature detection from the input video signal.<br />
Because such a module was not available (a feature extraction module existed, but had<br />
poor detection rate) at the moment <strong>of</strong> developing the system, a minor change was made.<br />
A new module for extracting the visual features from the images was built. It relied on<br />
the infra red effect on the pupils as for primarily detecting the location <strong>of</strong> the eyes. As<br />
soon as the data related to the eye location was available, the system could use it as<br />
constraints in the process <strong>of</strong> detecting the other visual features. The feature detection<br />
module represents the first processing component applied on the input video signal. The<br />
data provided by that module are used for determining the probabilities <strong>of</strong> the each<br />
emotional class to be associated with the individual’s current face.<br />
The architecture <strong>of</strong> the system includes two s<strong>of</strong>tware applications. One application is<br />
assumed to manage the task <strong>of</strong> data capturing from the video camera. It acts like a clientside<br />
application in a network environment. The second application has the goal <strong>of</strong><br />
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