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dc.contributor.authorVourvopoulos, Athanasios
dc.contributor.authorNiforatos, Evangelos
dc.contributor.authorGiannakos, Michail
dc.date.accessioned2020-03-24T10:10:39Z
dc.date.available2020-03-24T10:10:39Z
dc.date.created2019-12-31T16:12:12Z
dc.date.issued2019
dc.identifier.isbn978-1-4503-6869-8
dc.identifier.urihttps://hdl.handle.net/11250/2648307
dc.description.abstractContemporary Head-Mounted Displays (HMDs) are progressively becoming socially acceptable by approaching the size and design of normal eyewear. Apart from the exciting interaction design prospects, HMDs bear significant potential in hosting an array of physiological sensors very adjacent to the human skull. As a proof of concept, we illustrate EEGlass, an early wearable prototype comprised of plastic eyewear frames for approximating the form factor of a modern HMD. EEGlass is equipped with an Open-BCI board and a set of EEG electrodes at the contact points with the skull for unobtrusively collecting data related to the activity of the human brain. We tested our prototype with 1 participant performing cognitive and sensorimotor tasks while wearing an established Electroencephalography (EEG) device for obtaining a baseline. Our preliminary results showcase that EEGlass is capable of accurately capturing resting state, detect motor-action and Electrooculographic (EOG) artifacts. Further experimentation is required, but our early trials with EEGlass are promising in that HMDs could serve as a springboard for moving EEG outside of the lab and in our everyday life, facilitating the design of neuroadaptive systems.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofUbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
dc.titleEEGlass: An EEG-Eyeware Prototype for Ubiquitous Brain-Computer Interactionen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber647-652en_US
dc.identifier.doi10.1145/3341162.3348383
dc.identifier.cristin1764576
dc.description.localcode© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, http://dx.doi.org/10.1145/3341162.3348383en_US
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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