Print Email Facebook Twitter The Human Activity Radar Challenge Title The Human Activity Radar Challenge: Benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University Author Yang, Shufan (Edinburgh Napier University) Le Kernec, Julien (University of Glasgow) Romain, Olivier (University of Cergy-Pontoise) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Cadart, Pierre (CentraleSupelec) Fix, Jeremy (Lorraine University) Ren, Chengfang (Université Paris-Saclay) Manfredi, Giovanni (Université Paris Saclay) Letertre, Thierry (University Paris-Saclay) Date 2023 Subject Human activity classificationradarmachine learningconvolutional neural networks To reference this document use: http://resolver.tudelft.nl/uuid:80bd5013-58f2-462b-b453-a7b2d4fdf625 DOI https://doi.org/10.1109/JBHI.2023.3240895 Embargo date 2023-08-07 ISSN 2168-2208 Source IEEE Journal of Biomedical and Health Informatics, 27 (4), 1813-1824 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Shufan Yang, Julien Le Kernec, Olivier Romain, F. Fioranelli, Pierre Cadart, Jeremy Fix, Chengfang Ren, Giovanni Manfredi, Thierry Letertre, More Authors Files PDF The_Human_Activity_Radar_ ... ersity.pdf 2.51 MB Close viewer /islandora/object/uuid:80bd5013-58f2-462b-b453-a7b2d4fdf625/datastream/OBJ/view