Ritchie, M;
Jones, AM;
(2019)
Micro-Doppler Gesture Recognition using Doppler, Time and Range Based Features.
In:
Proceedings of the 2019 IEEE Radar Conference (RadarConf).
IEEE: Boston, MA, USA.
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Abstract
This paper presents micro-Doppler analysis and classification results from radar measurements of various hand gestures. A new database of 6 individuals completing 4 separate gestures with over 3,000 repetitions was recorded using a 24 GHz Ancortek radar system. The micro-Doppler signatures from these gestures were generated, features extracted and multiple different classifiers applied to this gesture data. A typical micro-Doppler classification process aims to use either a single range bin of data, average over a series of range bins or align all the target signal to a single bin. Different to previous techniques, the paper presents a method that uses multiple ranges bins to produce a spectrogram per range bin in order to represent the observed gesture over all four dimensions of time, Doppler, space and polarization. A comparison of the traditional and the newly proposed technique is shown and the improvements demonstrated are observed to be significant.
| Type: | Proceedings paper |
|---|---|
| Title: | Micro-Doppler Gesture Recognition using Doppler, Time and Range Based Features |
| Event: | 2019 IEEE Radar Conference (RadarConf) |
| Location: | Boston, MA, United States |
| Dates: | 22 - 26 April 2019 |
| ISBN-13: | 978-1-7281-1679-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/RADAR.2019.8835782 |
| Publisher version: | https://doi.org/10.1109/RADAR.2019.8835782 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Micro-Doppler, Classification, MachineLearning, FMCW Radar, Feature extraction, Spectrogram, Sensors, Radar, Databases, Training, Radio frequency |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10073829 |
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