Indoor human activity recognition using high-dimensional sensors and deep neural networks

dc.contributor.author	Vandersmissen, Baptist
dc.contributor.author	Knudde, Nicolas
dc.contributor.author	Jalalvand, Azarakhsh
dc.contributor.author	Couckuyt, Ivo
dc.contributor.author	Dhaene, Tom
dc.contributor.author	De Neve, Wesley
dc.contributor.imecauthor	Knudde, Nicolas
dc.contributor.imecauthor	Jalalvand, Azarakhsh
dc.contributor.imecauthor	Couckuyt, Ivo
dc.contributor.imecauthor	Dhaene, Tom
dc.contributor.orcidimec	Couckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimec	Dhaene, Tom::0000-0003-2899-4636
dc.date.accessioned	2021-10-29T06:40:08Z
dc.date.available	2021-10-29T06:40:08Z
dc.date.embargo	9999-12-31
dc.date.issued	2020-08
dc.identifier.issn	0941-0643
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/36196
dc.identifier.url	https://doi.org/10.1007/s00521-019-04408-1
dc.source.beginpage	12295
dc.source.endpage	12309
dc.source.issue	16
dc.source.journal	Neural Computing and Applications
dc.source.volume	32
dc.title	Indoor human activity recognition using high-dimensional sensors and deep neural networks
dc.type	Journal article
dspace.entity.type	Publication
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