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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Bibliographic Details
Main Authors: Huong Thi Thu Vu, Felipe Gomez, Pierre Cherelle, Dirk Lefeber, Ann Nowé, Bram Vanderborght
Format: Article
Published: MDPI AG 2018-07-01
Online Access:http://www.mdpi.com/1424-8220/18/7/2389

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