A CNN-based Human Activity Recognition System Combining a Laser Feedback Interferometry Eye Movement Sensor and an IMU for Context-aware Smart Glasses

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dc.contributor.author Kasneci, Enkelejda
dc.date.accessioned 2022-08-24T13:01:19Z
dc.date.available 2022-08-24T13:01:19Z
dc.date.issued 2021-12
dc.identifier.uri http://hdl.handle.net/10900/131200
dc.language.iso en de_DE
dc.publisher New York : ACM de_DE
dc.relation.uri https://doi.org/10.1145/3494998 de_DE
dc.subject.ddc 004 de_DE
dc.title A CNN-based Human Activity Recognition System Combining a Laser Feedback Interferometry Eye Movement Sensor and an IMU for Context-aware Smart Glasses de_DE
dc.type Article de_DE
utue.publikation.seiten 1-24 de_DE
utue.personen.roh Meyer, Johannes
utue.personen.roh Frank, Adrian
utue.personen.roh Schlebusch, Thomas
utue.personen.roh Kasneci, Enkeljeda
dcterms.isPartOf.ZSTitelID Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies de_DE
dcterms.isPartOf.ZS-Issue 4 de_DE
dcterms.isPartOf.ZS-Volume 5 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


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