Predictive framework of human locomotion based on neuromuscular primitives and modeling

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

doi:10.1007/978-3-319-46669-9_46

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

Physical Medicine and Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English (US)
Title of host publication	Biosystems and Biorobotics
Publisher	Springer International Publishing
Pages	265-269
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-319-46669-9_46
State	Published - Jan 1 2017

Publication series

Name	Biosystems and Biorobotics
Volume	15
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

ASJC Scopus subject areas

Biomedical Engineering
Mechanical Engineering
Artificial Intelligence

Access to Document

10.1007/978-3-319-46669-9_46

Cite this

@inbook{71fe90d849cf4d239aaa3f98d72758e4,

title = "Predictive framework of human locomotion based on neuromuscular primitives and modeling",

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.",

author = "Massimo Sartori and Jos{\'e} Gonz{\'a}lez-Vargas and Strahinja Do{\v s}en and Pons, {Jose L} and Dario Farina",

year = "2017",

month = jan,

day = "1",

doi = "10.1007/978-3-319-46669-9_46",

language = "English (US)",

series = "Biosystems and Biorobotics",

publisher = "Springer International Publishing",

pages = "265--269",

booktitle = "Biosystems and Biorobotics",

}

Predictive framework of human locomotion based on neuromuscular primitives and modeling. / Sartori, Massimo; González-Vargas, José; Došen, Strahinja; Pons, Jose L; Farina, Dario.

Biosystems and Biorobotics. Springer International Publishing, 2017. p. 265-269 (Biosystems and Biorobotics; Vol. 15).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Predictive framework of human locomotion based on neuromuscular primitives and modeling

AU - Sartori, Massimo

AU - González-Vargas, José

AU - Došen, Strahinja

AU - Pons, Jose L

AU - Farina, Dario

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85028333263&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028333263&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-46669-9_46

DO - 10.1007/978-3-319-46669-9_46

M3 - Chapter

AN - SCOPUS:85028333263

T3 - Biosystems and Biorobotics

SP - 265

EP - 269

BT - Biosystems and Biorobotics

PB - Springer International Publishing

ER -