Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants

Zhenyue Qin, Tom Gedeon, Lu Chen, Xuanying Zhu, Md. Zakir Hossain. Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants. In Long Cheng 0001, Andrew Chi-Sing Leung, Seiichi Ozawa, editors, Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V. Volume 11305 of Lecture Notes in Computer Science, pages 299-310, Springer, 2018. [doi]

Abstract

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