Acquisition and analysis of human biosignals (EEG, ECG, EOG, Skin Conductance, Eye-Tracking), with the aim of investigating neurophysiological correlations with human cognitive phenomena. The outcome is the development of synthetic neurometrics of specific and relevant mental states, such as mental workload, vigilance, stress, and so on. In particular, the research is aimed to relevant applications of these neurometrics, such as the Human Factor evaluation in operational environments (aviation, automotive, robot-assisted surgery), and the development of advanced Human-Machine Interfaces. The final goal is to achieve new frontiers of augmented and collaborative Human-Machine Interaction in user-centred operational environments, in order to guarantee user's wellbeing as well as higher efficiency and safety standards.
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