This work presents an architecture as an important contribution regarding to emotional events along tasks based on flight simulations. This architecture considered eight beginner users of flight simulator (n = 8) while they execute a simulated flight according with the basic concepts of visual flight rules (VFR). The acquired physiological sensing were: heart rate (HR), electroencephalography (EEG) and galvanic skin response (GSR). One small camera was also used to record the users' face in order to extract, after the post-processing, the emotions of the user during the flight. The considered emotions were: happy, sad, angry, surprised, scared and disgust. Initial analysis of the GSR signals shown that the takeoff task presented 13% more variability (or emotional events) between the climb and approach tasks together; and in the same way, the landing task presented 16% more variability between the climb and approach tasks together, what shows the importance of these researches in flight safety context, mainly in these critical phases.

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Emotion analysis architecture,Flight simulator,Physiological sensing,Aviation safety,Human error prevention

• Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
• Environmental Engineering - Engineering and Technology
• Environmental Biotechnology - Engineering and Technology