A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency
| dc.contributor.author | Chelli, Ali | |
| dc.contributor.author | Pätzold, Matthias Uwe | |
| dc.date.accessioned | 2020-03-27T10:00:26Z | |
| dc.date.available | 2020-03-27T10:00:26Z | |
| dc.date.created | 2019-10-21T14:41:41Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Chelli, A. & Pätzold, M. U. (2019). A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency. IEEE Access, 7, 166173-166189. doi: | en_US |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2649059 | |
| dc.language.iso | eng | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | Navngivelse 4.0 Internasjonal | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
| dc.title | A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | © 2019 The Author(s) | en_US |
| dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en_US |
| dc.source.pagenumber | 166173-166189 | en_US |
| dc.source.volume | 7 | en_US |
| dc.source.journal | IEEE Access | en_US |
| dc.identifier.doi | 10.1109/ACCESS.2019.2947739 | |
| dc.identifier.cristin | 1739145 | |
| dc.relation.project | Norges forskningsråd: 261895 | en_US |
| cristin.qualitycode | 1 |
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