Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton

Fernando Trincado-Alonso*, Antonio J. del Ama-Espinosa, Guillermo Asín-Prieto, Elisa Piñuela-Martín, Soraya Pérez-Nombela, Ángel Gil-Agudo, Jose L Pons, Juan C. Moreno

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

In this study we explore a way of controlling a lower limb exoskeleton based on the detection of the user intention by recording and classifying information from force sensors placed on both knees and hips. The classifier is based on Linear Discriminant Analysis and has been tested offline in 5 healthy subjects, obtaining an average accuracy of 91.11 % for the sit-to-stand transition, 72.5 % for the stand-to-walk transition and 70 % for the stand-to-sit transition.

Original languageEnglish (US)
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages249-253
Number of pages5
DOIs
StatePublished - Jan 1 2017

Publication series

NameBiosystems and Biorobotics
Volume16
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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