"Artificial Neural Networks Can Distinguish Genuine and Acted Anger by ..."

Zhenyue Qin et al. (2018)

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DOI: 10.1007/978-3-030-04221-9_27

access: closed

type: Conference or Workshop Paper

metadata version: 2019-09-25

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  dblp key:
  - conf/iconip/QinGCZH18
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  - https://dblp.org/rec/conf/iconip/QinGCZH18
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. ICONIP (5) 2018: 299-310

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