Recognizing emotions based on multimodal neurophysiological signals

Li, Xiang; Zhang, Peng; Song, Dawei and Hou, Yuexian (2015). Recognizing emotions based on multimodal neurophysiological signals. Advances in Computational Psychophysiology pp. 28–30.

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About

• Item ORO ID
• 44891
• Item Type
• Journal Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	2013CB329304	National Basic Research Program of China (973 Program)
  Not Set	2014CB744604	National Basic Research Program of China (973 Program)
  Not Set	2015AA015403	National High-Tech R&D Program of China (863 Program)
  Not Set	61272265	Natural Science Foundation of China
  Not Set	61402324	Natural Science Foundation of China

• Extra Information
• Published in Advances in Computational Psychophysiology (Science/AAAS, Washington, DC, 2015), p. 28-30. This is a sponsored supplement, published together with the 2 October 2015 issue of Science.
• Keywords
• emotion recognition; EEG; deep feature learning
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2015 by the American Association for the Advancement of Science
• Related URLs
• • https://www.sciencemag.org/content/350/6...(Other)
• Depositing User
• Dawei Song