To Design and Implement a Recommender System based on Brainwave: Applying Empirical Model Decomposition (EMD) and Neural Networks

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dc.contributor.author Lai, Chiayu
dc.contributor.author Jhang, Zhe-Lun
dc.contributor.author Chen, Deng-Neng
dc.date.accessioned 2019-01-03T00:26:57Z
dc.date.available 2019-01-03T00:26:57Z
dc.date.issued 2019-01-08
dc.description.abstract Recommender systems collect and analyze users’ preferences to help users overcome information overload and make their decisions. In this research, we develop an online book recommender system based on users’ brainwave information. We collect users’ brainwave data by utilizing electroencephalography (EEG) device and apply empirical mode decomposition (EMD) to decompose the brainwave signals into intrinsic mode functions (IMFs). We propose a back-propagation neural networks (BPNN) model to portrait the user’s brainwave preference correlations based on IMFs of brainwave signals, thereby designing and developing the book recommender system. The experimental results show that the recommender system combined with the brainwave analysis can improve accuracy significantly. This research has highlighted a future direction for research and development on human-computer interaction (HCI) design and recommender system.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2019.536
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59880
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Cognitive Neuroscience and Psychophysiology in the Digital Economy
dc.subject Internet and the Digital Economy
dc.subject Recommender system, brainwave analysis, empirical mode decomposition (EMD), neural networks
dc.title To Design and Implement a Recommender System based on Brainwave: Applying Empirical Model Decomposition (EMD) and Neural Networks
dc.type Conference Paper
dc.type.dcmi Text
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Cognitive Neuroscience and Psychophysiology in the Digital Economy