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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 Type: Journal Item
Copyright Holders: 2015 by the American Association for the Advancement of Science
Project Funding Details:
Funded Project NameProject IDFunding Body
Not Set2013CB329304National Basic Research Program of China (973 Program)
Not Set2014CB744604National Basic Research Program of China (973 Program)
Not Set2015AA015403National High-Tech R&D Program of China (863 Program)
Not Set61272265Natural Science Foundation of China
Not Set61402324Natural 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/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
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Item ID: 44891
Depositing User: Dawei Song
Date Deposited: 30 Nov 2015 16:47
Last Modified: 07 Dec 2018 19:16
URI: http://oro.open.ac.uk/id/eprint/44891
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