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dc.contributor.authorLai, Hsin-Yu
dc.contributor.authorSodini, Charles
dc.contributor.authorSze, Vivienne
dc.contributor.authorHeldt, Thomas
dc.date.accessioned2023-04-03T17:13:40Z
dc.date.available2023-04-03T17:13:40Z
dc.date.issued2023-03-28
dc.identifier.issn2474-9567
dc.identifier.urihttps://hdl.handle.net/1721.1/150360
dc.publisherACMen_US
dc.relation.isversionofhttps://doi.org/10.1145/3580843en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACMen_US
dc.titleIndividualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devicesen_US
dc.typeArticleen_US
dc.identifier.citationLai, Hsin-Yu, Sodini, Charles, Sze, Vivienne and Heldt, Thomas. 2023. "Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.relation.journalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologiesen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-04-01T07:50:21Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-04-01T07:50:21Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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