Print Email Facebook Twitter Continuous human activity recognition for arbitrary directions with distributed radars Title Continuous human activity recognition for arbitrary directions with distributed radars Author Guendel, Ronny (TU Delft Microwave Sensing, Signals & Systems) Unterhorst, M. (Università Politecnica delle Marche) Gambi, Ennio (Università Politecnica delle Marche) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2021 Abstract Continuous Activities of Daily Living (ADL) recognition in an arbitrary movement direction using five distributed pulsed Ultra-Wideband (UWB) radars in a coordinated network is proposed. Classification approaches in unconstrained activity trajectories that render a more natural occurrence for Human Activity Recognition (HAR) are investigated. Feature and decision fusion methods are applied to the priorly extracted handcrafted features from the range-Doppler. A following multi-nomial logistic regression classifier, commonly known as Softmax, provides explicit probabilities associated with each target label. The outputs of these classifiers from different radar nodes were combined with a probability prediction balancing approach over time to improve performances. The final results show average improvements between 6.8% and 17.5% compared to the usage of any single radar in unconstrained directions Subject Micro-Doppler ClassificationDistributed RadarAssisted LivingHuman Activity RecognitionMachine Learning To reference this document use: http://resolver.tudelft.nl/uuid:e0252aea-6fd6-407b-a7a6-d627940886f2 DOI https://doi.org/10.1109/RadarConf2147009.2021.9454972 Publisher IEEE Embargo date 2021-12-18 ISBN 978-1-7281-7610-9 Source 2021 IEEE Radar Conference: Radar on the Move, RadarConf 2021 Event 2021 IEEE Radar Conference (RadarConf21), 2021-05-07 → 2021-05-14, Atlanta, United States Series IEEE National Radar Conference - Proceedings, 1097-5659, 2021-May 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 conference paper Rights © 2021 Ronny Guendel, M. Unterhorst, Ennio Gambi, F. Fioranelli, Alexander Yarovoy Files PDF 09454972.pdf 6.42 MB Close viewer /islandora/object/uuid:e0252aea-6fd6-407b-a7a6-d627940886f2/datastream/OBJ/view