In this work, a bio-radar dataset with 20 subjects was explored to implement biometric authentication. Subjects were exposed to different emotion-eliciting stimuli (happiness, fearfulness, and neutrality) in different dates, to further analyze the time and emotion results dependency. The study included the analysis of respiratory and cardiac signals separately, as well as their fusion. It was possible to infer the feasibility of BR systems, obtaining an Equal Error Rate (EER) of 3.48% using data of the same day.
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