NDLI: Dop-NET: a micro-Doppler radar data challenge

Content Provider	IET Digital Library
Author	Ritchie, M. Capraru, R. Fioranelli, Francesco
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.
Starting Page	568
Ending Page	570
Page Count	3
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 11, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.4153
Journal	Electronics Letters
Publisher Date	2020-03-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Compact RF Sensor Continuous Wave Radar Module CW Radar Dop-NET Database Dop-NET Radar MicroDoppler Database Doppler Radar Dynamic Hand Gesture Recognition Frequency 24.0 GHz Learning in AI Machine Learning Communities MicroDoppler Classification Technique MicroDoppler Radar Data Challenge Radar Equipment Radar MicroDoppler Signatures Radar Signal Processing Radar Sonsor Radar Theory Signal Classification Signal Processing Signal Processing And Detection System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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