U-HAR: A Convolutional Approach to Human Activity Recognition Combining Head and Eye Movements for Context-Aware Smart Glasses

dc.contributor.author	Kasneci, Enkelejda
dc.contributor.author	Meyer, Johannes
dc.date.accessioned	2023-06-21T09:43:09Z
dc.date.available	2023-06-21T09:43:09Z
dc.date.issued	2022-05-13
dc.identifier.uri	http://hdl.handle.net/10900/142481
dc.language.iso	en	de_DE
dc.publisher	ACM	de_DE
dc.relation.uri	https://doi.org/10.1145/3530884	de_DE
dc.subject.ddc	004	de_DE
dc.title	U-HAR: A Convolutional Approach to Human Activity Recognition Combining Head and Eye Movements for Context-Aware Smart Glasses	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.personen.roh	Kasneci, Enkelejda
utue.personen.roh	Schlebusch, Thomas
utue.personen.roh	Frank, Adrian
utue.personen.roh	Meyer, Johannes
dcterms.isPartOf.ZSTitelID	Proceedings of the ACM on Human-Computer Interaction	de_DE
dcterms.isPartOf.ZS-Issue	ETRA	de_DE
dcterms.isPartOf.ZS-Volume	6	de_DE