Classifying Affective States Using Thermal Infrared Imaging of the Human Face

Abstract

In this paper, time, frequency, and time-frequency features derived from thermal infrared data are used to discriminate between self-reported affective states of an individual in response to visual stimuli drawn from the International Affective Pictures System. A total of six binary classification tasks were examined to distinguish baseline and affect… (More)
DOI: 10.1109/TBME.2009.2035926

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