| dc.contributor.author | Muaaz, Muhammad | |
| dc.contributor.author | Chelli, Ali | |
| dc.contributor.author | Pätzold, Matthias Uwe | |
| dc.date.accessioned | 2021-03-24T14:32:36Z | |
| dc.date.available | 2021-03-24T14:32:36Z | |
| dc.date.created | 2020-07-16T16:14:44Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Muaaz, M., Chelli, A. & Pätzold, M. U. (2020). WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition. IEEE Vehicular Technology Conference, 19732447. | en_US |
| dc.identifier.isbn | 978-1-7281-5207-3 | |
| dc.identifier.issn | 2577-2465 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2735336 | |
| dc.description | Author's accepted manuscript. | en_US |
| dc.description | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE | en_US |
| dc.title | WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition | en_US |
| dc.type | Journal article | en_US |
| dc.type | Peer reviewed | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.rights.holder | © 2020 IEEE | en_US |
| dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en_US |
| dc.source.pagenumber | 7 | en_US |
| dc.source.journal | IEEE Vehicular Technology Conference | en_US |
| dc.identifier.doi | https://doi.org/10.1109/VTC2020-Spring48590.2020.9128418 | |
| dc.identifier.cristin | 1819632 | |
| dc.relation.project | Norges forskningsråd: 261895 | en_US |
| dc.source.articlenumber | 19732447 | en_US |
| cristin.qualitycode | 1 | |
