Print Email Facebook Twitter Dop-NET Title Dop-NET: A Micro-Doppler Radar Data Challenge Author Ritchie, M. (University College London (UCL)) Capraru, R. (University College London (UCL)) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Date 2020-05-28 Abstract Radar sensors have a new growing application area of dynamic hand gesture recognition. Traditionally radar systems are considered to be very large, complex and focused on detecting targets at long ranges. With modern electronics and signal processing it is now possible to create small compact RF sensors that can sense subtle movements over short ranges. For such applications, access to comprehensive databases of signatures is critical to enable the effective training of classification algorithms and to provide a common baseline for benchmarking purposes. This Letter introduces the Dop-NET radar micro-Doppler database and data challenge to the radar and machine learning communities. Dop-NET is a database of radar micro-Doppler signatures that are shareable and distributed with the purpose of improving micro-Doppler classification techniques. A continuous wave 24 GHz radar module is used to capture the first contributions to the Dop-NET database and classification results based on discriminating these hand gestures as shown. Subject learning (artificial intelligence)radar signal processingCW radarDoppler radarsignal classificationsignal processingcompact RF sensorsDop-NET radar microDoppler databasemachine learning communitiesradar microDoppler signaturesmicroDoppler classification techniquesDop-NET databasemicroDoppler radar data challengeradar sensorsdynamic hand gesture recognitioncontinuous wave radar modulefrequency 240 GHz To reference this document use: http://resolver.tudelft.nl/uuid:ad05997e-bfe7-49d3-aa9f-4fcd6772371c DOI https://doi.org/10.1049/el.2019.4153 Embargo date 2020-11-01 ISSN 0013-5194 Source Electronics Letters, 56 (11), 568-570 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 © 2020 M. Ritchie, R. Capraru, F. Fioranelli Files PDF el.2019.4153.pdf 572.28 KB Close viewer /islandora/object/uuid:ad05997e-bfe7-49d3-aa9f-4fcd6772371c/datastream/OBJ/view