About: In-ear electrode EEG for practical SSVEP BCI

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #85289 In-ear electrode EEG for practical SSVEP BCI
sameAs	In-ear electrode EEG for practical SSVEP BCI
http://eprints.org/ontology/hasDocument	In-ear electrode EEG for practical SSVEP BCI (PDF) In-ear electrode EEG for practical SSVEP BCI (Other) In-ear electrode EEG for practical SSVEP BCI (Other) In-ear electrode EEG for practical SSVEP BCI (Other) In-ear electrode EEG for practical SSVEP BCI (Other) In-ear electrode EEG for practical SSVEP BCI (Other)
http://eprints.org/ontology/hasPublished	In-ear electrode EEG for practical SSVEP BCI (PDF)
dc:hasVersion	In-ear electrode EEG for practical SSVEP BCI (PDF)
Title	In-ear electrode EEG for practical SSVEP BCI
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2020-11-05
Creator	Emmanuel Molefi I. McLoughlin Palaniappan Ramaswamy Surej Mouli
status	peer reviewed published
Publisher	MDPI
abstract	Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain signals into external actions or signals. Traditionally, SSVEP data is collected from the occipital region using electrodes with or without gel, normally mounted on a head cap. In this experimental study, we develop an in-ear electrode to collect SSVEP data for four different flicker frequencies and compare against occipital scalp electrode data. Data from five participants demonstrates the feasibility of in-ear electrode based SSVEP, significantly enhancing the practicability of wearable BCI applications.
Is Part Of	Technologies https://kar.kent.ac.uk/id/repository
Subject	QA 75 Electronic computers. Computer science
list of authors	https://kar.kent.ac.uk/id/eprint/85289#authors
issue	4
volume	8
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #85289 In-ear electrode EEG for practical SSVEP BCI

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