| dc.contributor.author | Luo, F | en_US |
| dc.contributor.author | Bodanese, E | en_US |
| dc.contributor.author | Khan, S | en_US |
| dc.contributor.author | Wu, K | en_US |
| dc.date.accessioned | 2023-05-03T15:06:06Z | |
| dc.date.issued | 2023 | en_US |
| dc.identifier.issn | 0196-2892 | en_US |
| dc.identifier.other | ARTN 5103913 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/86126 | |
| dc.relation.ispartof | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | en_US |
| dc.subject | Radar | en_US |
| dc.subject | Feature extraction | en_US |
| dc.subject | Hidden Markov models | en_US |
| dc.subject | Radar polarimetry | en_US |
| dc.subject | Wearable sensors | en_US |
| dc.subject | Spectrogram | en_US |
| dc.subject | Time-frequency analysis | en_US |
| dc.subject | Human activity recognition | en_US |
| dc.subject | micro-Doppler signatures | en_US |
| dc.subject | radar sensor network | en_US |
| dc.subject | spectro-temporal network (STnet) | en_US |
| dc.subject | temporal convolutional network (TCN) | en_US |
| dc.title | Spectro-Temporal Modeling for Human Activity Recognition Using a Radar Sensor Network | en_US |
| dc.type | Article | |
| dc.rights.holder | © 2023 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.identifier.doi | 10.1109/TGRS.2023.3270365 | en_US |
| pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000986666500024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 61 | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
| qmul.funder | India-UK Advanced Technology Centre (IU-ATC) of Excellence in Next Generation Networks Systems and Services::Engineering and Physical Sciences Research Council | en_US |
