Predictive framework of human locomotion based on neuromuscular primitives and modeling

Massimo Sartori*, José González-Vargas, Strahinja Došen, Jose L Pons, Dario Farina

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Synthesizing human movement in computational neuro-mechanical models is a complex problem. In this study, we describe a predictive framework that combines computational models of neural, sensory and mechanical processes. Our proposed formulation facilitates the transition towards the design of a new class of bio-mimetic assistive devices that do not rely on explicit representations of task-specific motor control models.

Original languageEnglish (US)
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages265-269
Number of pages5
DOIs
StatePublished - Jan 1 2017

Publication series

NameBiosystems and Biorobotics
Volume15
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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