dc.contributor.author | Nunavath, Vimala | |
dc.contributor.author | Johansen, Sahand | |
dc.contributor.author | Johannessen, Tommy Sandtorv | |
dc.contributor.author | Jiao, Lei | |
dc.contributor.author | Hansen, Bjørge Hermann | |
dc.contributor.author | Stølevik, Sveinung Berntsen | |
dc.contributor.author | Goodwin, Morten | |
dc.date.accessioned | 2021-10-01T05:55:03Z | |
dc.date.available | 2021-10-01T05:55:03Z | |
dc.date.created | 2021-09-21T15:04:05Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Nunavath, V., Johansen, S., Johannessen, T. S., Jiao, L., Hansen, B. H., Stølevik, S. B. & Goodwin, M. (2021). Deep Learning for Classifying Physical Activities from Accelerometer Data. Sensors, 21 (16), Artikkel 5564. | en_US |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | https://hdl.handle.net/11250/2786826 | |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | Deep learning | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Helse | en_US |
dc.subject | Health | en_US |
dc.subject | Fysisk aktivitet | en_US |
dc.subject | Physical activity | en_US |
dc.title | Deep Learning for Classifying Physical Activities from Accelerometer Data | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2021 The Author(s) | en_US |
dc.subject.nsi | VDP::Informasjons- og kommunikasjonsteknologi: 550 | en_US |
dc.subject.nsi | VDP::Information and communication technology: 550 | en_US |
dc.source.volume | 21 | en_US |
dc.source.journal | Sensors | en_US |
dc.source.issue | 16 | en_US |
dc.identifier.doi | https://doi.org/10.3390/s21165564 | |
dc.identifier.cristin | 1936674 | |
dc.source.articlenumber | 5564 | en_US |
cristin.qualitycode | 1 | |