@article{ref1,
title="Step length is a more reliable measurement than walking speed for pedestrian dead-reckoning",
journal="IEEE eXplor",
year="2023",
author="Elyasi, Fatemeh and Manduchi, Roberto",
volume="2023",
number="",
pages="-",
abstract="Pedestrian dead reckoning (PDR) relies on the estimation of the length of each step taken by the walker in a path from inertial data (e.g. as recorded by a smartphone). Existing algorithms either estimate step lengths directly, or predict walking speed, which can then be integrated over a step period to obtain step length. We present an analysis, using a common architecture formed by an LSTM followed by four fully connected layers, of the quality of reconstruction when predicting step length vs. walking speed. Our experiments, conducted on a data set collected by twelve participants, strongly suggest that step length can be predicted more reliably than average walking speed over each step.<p /> <p>Language: en</p>",
language="en",
issn="2471-917X",
doi="10.1109/ipin57070.2023.10332483",
url="http://dx.doi.org/10.1109/ipin57070.2023.10332483"
}