@article{ref1,
title="Gait classification of young adults, elderly non-fallers, and elderly fallers using micro-doppler radar signals: simulation study",
journal="IEEE sensors journal",
year="2017",
author="Saho, K. and Fujimoto, M. and Masugi, M. and Chou, L. S.",
volume="17",
number="8",
pages="2320-2321",
abstract="This letter presents a gait classification technique for the identification of individuals with different gait patterns using simulated micro-Doppler radar remote sensing data. Proposed feature parameters for the classification are principal components of velocities extracted via micro-Doppler radar signals generated using motion capture-based kinematic data. Distinct differences were found in the proposed parameters among three groups of subjects with different gait patterns: healthy young and elderly adults, and elderly adults with a history of falls (elderly fallers).<p /> <p>Language: en</p>",
language="en",
issn="1530-437X",
doi="10.1109/JSEN.2017.2678484",
url="http://dx.doi.org/10.1109/JSEN.2017.2678484"
}