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People’s life quality is being improved thanks to the advances in medicine and to the promotion of health. One of the pillars for having a healthy life is to know and to take care of the emotions of oneself. Due to the close relationship between the emotions and the responses of the autonomic nervous system, the aim of this work is to study and detect the physiological patterns produced by two of the basic human emotions: surprise and contentment. The work presents a preliminary system that processes and analyzes two noninvasive physiological signals (the galvanic skin response and the heart rate variability) and that uses a finite state machine for the detection of the activation of the sympathetic nervous system. The work also presents the experimental procedure that was designed in order to elicit different emotions in laboratory conditions. The F-score results obtained for the correlation of the analyzed emotions and the physiological patterns were F1=1.00 and for surprise and F1=0.94 for contentment.

A Preliminary System for the Automatic Detection of Emotions based on the Autonomic Nervous System Response