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

dc.contributor.authorVandersmissen, Baptist
dc.contributor.authorKnudde, Nicolas
dc.contributor.authorJalalvand, Azarakhsh
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorDhaene, Tom
dc.contributor.authorDe Neve, Wesley
dc.date.accessioned2021-10-29T06:40:08Z
dc.date.available2021-10-29T06:40:08Z
dc.date.issued2020-08
dc.identifier.issn0941-0643
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/36196
dc.sourceIIOimport
dc.titleIndoor human activity recognition using high-dimensional sensors and deep neural networks
dc.typeJournal article
dc.contributor.imecauthorKnudde, Nicolas
dc.contributor.imecauthorJalalvand, Azarakhsh
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage12295
dc.source.endpage12309
dc.source.journalNeural Computing and Applications
dc.source.issue16
dc.source.volume32
dc.identifier.urlhttps://doi.org/10.1007/s00521-019-04408-1
imec.availabilityPublished - open access


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