Assisted Gait Phase Estimation Through an Embedded Depth Camera Using Modified Random Forest Algorithm Classification

The paper presents a novel method for the classification of gait phases for power gait orthosis users based on machine learning. The classification uses depth images collected from a Time of Flight camera embedded in the crutches employed for the assisted gait. The machine learning algorithm foresee...

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Bibliographic Details
Published in:	IEEE sensors journal Vol. 20; no. 6; pp. 3343 - 3355
Main Authors:	Pasinetti, Simone, Fornaser, Alberto, Lancini, Matteo, De Cecco, Mariolino, Sansoni, Giovanna
Format:	Journal Article
Language:	English
Published:	New York IEEE 15.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cameras Classification Classifiers Data collection Depth sensing Floors Foot Gait gait analysis Image classification Legged locomotion Machine learning measurement Orthoses Radio frequency Sensors Three-dimensional displays Uncertainty
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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