liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Features for micro-Doppler based activity classification
Swedish Defence Research Agency (FOI).
Swedish Defence Reserearch Agency (FOI).
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1971-4295
2015 (English)In: IET radar, sonar & navigation, ISSN 1751-8784, E-ISSN 1751-8792, Vol. 9, no 9, 1181-1187 p.Article in journal (Refereed) Published
Abstract [en]

Safety and security applications benefit from better situational awareness. Radar micro-Doppler signatures from an observed target carry information about the target's activity, and have potential to improve situational awareness. This article describes, compares, and discusses two methods to classify human activity based on radar micro-Doppler data. The first method extracts physically interpretable features from the time-velocity domain such as the main cycle time and properties of the envelope of the micro-Doppler spectra and use these in the classification. The second method derives its features based on the components with the most energy in the cadence-velocity domain (obtained as the Fourier transform of the time-velocity domain). Measurements from a field trial show that the two methods have similar activity classification performance. It is suggested that target base velocity and main limb cadence frequency are indirect features of both methods, and that they do often alone suffice to discriminate between the studied activities. This is corroborated by experiments with a reduced feature set. This opens up for designing new more compact feature sets. Moreover, weaknesses of the methods and the impact of non-radial motion are discussed.

Place, publisher, year, edition, pages
2015. Vol. 9, no 9, 1181-1187 p.
Keyword [en]
Fourier transforms; feature extraction; Doppler radar
National Category
Control Engineering Signal Processing
URN: urn:nbn:se:liu:diva-123186DOI: 10.1049/iet-rsn.2015.0084ISI: 000365855500007OAI: diva2:877198
Security Link

Funding agencies: Security Link; Swedish Foundation for Strategic Research (SSF)

Available from: 2015-12-06 Created: 2015-12-06 Last updated: 2016-01-11

Open Access in DiVA

fulltext(908 kB)147 downloads
File information
File name FULLTEXT01.pdfFile size 908 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Hendeby, Gustaf
By organisation
Automatic ControlThe Institute of TechnologyFaculty of Science & Engineering
In the same journal
IET radar, sonar & navigation
Control EngineeringSignal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 147 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 438 hits
ReferencesLink to record
Permanent link

Direct link