Intelligence system for emotional facial state estimation during inspection control
Intelligence system for emotional facial state estimation during inspection control
Пантєєв Р.Л., Синєглазов В.М., Бориндо І.О.
The problem of customs control intelligence
security system creations is considered. The necessity of the
passenger emotions face changes analysis during control in
airports is shown. The emotional changes of a human face
correspond to internal reaction of the person on the posed
control questions. As the solution of this problem it’s proposed
to apply the convolution neural network at the stage of micro
emotion identification and the indistinct qualifier – at the stage
of decision making for potential threats of passenger. As the
indistinct qualifier it is offered to use the NEFCLASS neural
network. The example of practical approach for micro emotion
recognition by means of convolution neural network is given.
