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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 be applied to.doi:10.1007/s10111-003-0143-x fatcat:rhxdkuxusbbwtbjshirrgwbdba