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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Vydané v:	IEEE sensors journal Ročník 20; číslo 6; s. 3343 - 3355
Hlavní autori:	Pasinetti, Simone, Fornaser, Alberto, Lancini, Matteo, De Cecco, Mariolino, Sansoni, Giovanna
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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