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Emotion recognition system for risk attitude assessment

Abstract:

A system based on the dynamic equations that characterize stress and its effect on the state of health is presented, to evaluate the possible risky attitudes that an individual can cause due to psychosocial stress. The behavioral response is evaluated from a set of variables that characterize the emotional situations that the person faces. The variables considered were the physiognomy of the face, the voice spectrum and the pulse. Critical points are characterized as stress stimuli. An algorithm is carried out in MatLab® where it is possible to evaluate the confluence of the variables for the assessment of the emotional state of the person and their possible risk in stressful situations. The convergence of the pulsations with the EKG signals as representations of the physiological reactions in the organism are analyzed and the percentage errors of psychosocial behavior and lie detection are contrasted.