<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Machine learning to differentiate between positive and negative emotions using pupil diameter"^^ . "Pupil diameter (PD) has been suggested as a reliable parameter for identifying an individual's emotional state. In this paper, we introduce a learning machine technique to detect and differentiate between positive and negative emotions. We presented 30 participants with positive and negative sound stimuli and recorded pupillary responses. The results showed a significant increase in pupil dilation during the processing of negative and positive sound stimuli with greater increase for negative stimuli. We also found a more sustained dilation for negative compared to positive stimuli at the end of the trial, which was utilized to differentiate between positive and negative emotions using a machine learning approach which gave an accuracy of 96.5 with sensitivity of 97.93 and specificity of 98. The obtained results were validated using another dataset designed for a different study and which was recorded while 30 participants processed word pairs with positive and negative emotions. © 2015 Babiker, Faye, Prehn and Malik."^^ . "2015" . . "6" . "DEC" . . "Frontiers Media S.A."^^ . . . "Frontiers in Psychology"^^ . . . "16641078" . . . . . . . . . . . . . . . . "A."^^ . "Babiker"^^ . "A. Babiker"^^ . . "K."^^ . "Prehn"^^ . "K. Prehn"^^ . . "A."^^ . "Malik"^^ . "A. Malik"^^ . . "I."^^ . "Faye"^^ . "I. Faye"^^ . . . . . "HTML Summary of #6157 \n\nMachine learning to differentiate between positive and negative emotions using pupil diameter\n\n" . "text/html" . .