@inproceedings{e5cdbd6233d2467f8cb833299b0bdeff,
title = "Radar micro-Doppler based human activity classification for indoor and outdoor environments",
abstract = "This paper presents the results of our experimental investigation into how different environments impact the classification of human motion using radar micro-Doppler (MD) signatures. The environments studied include free space, through-thewall, leaf tree foliage, and needle tree foliage. Results on presented on classification of the following three motions: crawling, walking, and jogging. The classification task was designed how to best separate these movements. The human motion data were acquired using a monostatic coherent Doppler radar operating in the C-band at 6.5 GHz from a total of six human subjects. The received signals were analyzed in the time-frequency domain using the Short-time Fourier Transform (STFT) which was used for feature extraction. Classification was performed using a Support Vector Machine (SVM) using a Radial Basis Function (RBF). Classification accuracies in the range 80-90% were achieved to separate the three movements mentioned.",
author = "Matthew Zenaldin and Narayanan, {Ram M.}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Radar Sensor Technology XX ; Conference date: 18-04-2016 Through 21-04-2016",
year = "2016",
doi = "10.1117/12.2228397",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Armin Doerry and Ranney, {Kenneth I.}",
booktitle = "Radar Sensor Technology XX",
address = "United States",
}