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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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
Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Copyright Holders
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- Other
Depositing User
Dawei Song

CORE (COnnecting REpositories)

Open Research Online - ORO

Recognizing emotions based on multimodal neurophysiological signals

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