Emotion Recognition from Physiological Signals for User Modeling of Affect

نویسندگان

  • Fatma Nasoz
  • Christine L. Lisetti
  • Kaye Alvarez
چکیده

In this paper, we describe algorithms developed to analyze physiological signals associated with emotions, in order to recognize the affective states of users via noninvasive technologies. We propose a framework for modeling user's emotions from the sensory inputs and interpretations of our multi-modal system. We also describe examples of circumstances that these systems can

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تاریخ انتشار 2003