Affect recognition is about to set new directions for automatic surveillance. We research and develop applications on the recognition of emotions from live video streams of surveillance cameras.

The automatic recognition of emotions can be part of more complex systems that detect life-threatening situations, identify victims, to determine the profile of users in adaptive human-computer interfaces, to aid systems for automatic speech recognition or for lip-reading.


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