Serdar Baltaci

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In order to differentiate the affective state of a computer user as it changes from relaxation to stress, features derived from pupil dilation and periorbital temperature are processed with machine learning techniques. When absolute signal values are used together with entropy based features, the accuracy of affective classification is observed to increase.(More)
Earlier investigations of pupil size variation during auditory stimulation involved delivery of simple auditory tones. In this study, we investigated pupil size variation in response to auditory stimuli which involved verbal stories In our study, twenty four participants listened to scenarios with headphones while sitting in front of an eye tracker and(More)
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