ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses

Throughout the last decade, a whole new generation of powered transtibial prostheses and exoskeletons has been developed. However, these technologies are limited by a gait phase detection which controls the wearable device as a function of the activities of the wearer. Consequently, gait phase detec...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 18; číslo 7; s. 2389
Hlavní autori:	Vu, Huong Thi Thu, Gomez, Felipe, Cherelle, Pierre, Lefeber, Dirk, Nowé, Ann, Vanderborght, Bram
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 23.07.2018 MDPI
Predmet:	Accuracy Algorithms Amputation Artificial intelligence Electromyography exoskeleton Gait gait event detection gait phase prediction gait recognition International conferences lower limb prosthesis Neural networks Phase transitions Prostheses Sensors Skin United States > US Germany exoskeleton gait recognition gait event detection lower limb prosthesis gait phase prediction
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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