@article{ref1,
title="Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2019",
author="Guimaraes, Vania and Sousa, Inês and Correia, Miguel V.",
volume="2019",
number="",
pages="6926-6929",
abstract="Interactive games have the potential to mitigate or prevent gait impairments and cognitive decline in older adults. This study aimed at developing a novel real-time step detection and direction classification approach to be used in the evaluation of multidirectional steps and interaction while playing motor-cognitive games. Two shoe-mounted inertial sensors were used to capture foot motions, which were treated interchangeably after the application of a novel foot sagittal reflection method. A single multi-class classifier was able to distinguish step direction with an accuracy of 98.1%. Experimental results support the applicability of the solution in the context of interactive motor-cognitive training.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2019.8856851",
url="http://dx.doi.org/10.1109/EMBC.2019.8856851"
}