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

Simple item page
dc.contributor.authorLai, Chiayu
dc.contributor.authorJhang, Zhe-Lun
dc.contributor.authorChen, Deng-Neng
dc.date.accessioned2019-01-03T00:26:57Z
dc.date.available2019-01-03T00:26:57Z
dc.date.issued2019-01-08
dc.description.abstractRecommender 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.extent9 pages
dc.identifier.doi10.24251/HICSS.2019.536
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59880
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCognitive Neuroscience and Psychophysiology in the Digital Economy
dc.subjectInternet and the Digital Economy
dc.subjectRecommender system, brainwave analysis, empirical mode decomposition (EMD), neural networks
dc.titleTo Design and Implement a Recommender System based on Brainwave: Applying Empirical Model Decomposition (EMD) and Neural Networks
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0440.pdf
Size:
913.16 KB
Format:
Adobe Portable Document Format
Download

Collections

Cognitive Neuroscience and Psychophysiology in the Digital Economy