Biodynamic Feedthrough

Current Status and Open Issues

Joost Venrooij, Mario Olivari, Heinrich Bulthoff

Research output: Contribution to journalArticle

Abstract

Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the body of a human operator, causing involuntary limb motions, which in turn result in involuntary control inputs. Manual control of many different vehicles is known to be vulnerable to BDFT effects, such as that of helicopters, aircraft, electric wheelchairs and hydraulic excavators. This paper provides a brief review of BDFT literature, which serves as a basis for identifying the fundamental challenges that remain to be addressed in future BDFT research. One of these challenges, time-variant BDFT identification, is discussed in more detail. Currently, it is often assumed that BDFT dynamics are (quasi)linear and time-invariant. This assumption can only be justified when measuring BDFT under carefully crafted experimental conditions, which are very different from real-world situations. As BDFT dynamics depend on neuromuscular dynamics, they are typically time-varying. This paper investigates the suitability of a recently developed time-variant identification approach, based on a recursive least-squares algorithm, which has been successfully used to identify time-varying neuromuscular dynamics.

Original languageEnglish
Pages (from-to)120-125
Number of pages6
JournalIFAC-PapersOnLine
Volume49
Issue number19
DOIs
Publication statusPublished - 2016
Externally publishedYes

Fingerprint

Manual control
Excavators
Wheelchairs
Helicopters
Aircraft
Hydraulics

Keywords

  • biodynamic feedthrough
  • cybernetics
  • time-variant identification

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Biodynamic Feedthrough : Current Status and Open Issues. / Venrooij, Joost; Olivari, Mario; Bulthoff, Heinrich.

In: IFAC-PapersOnLine, Vol. 49, No. 19, 2016, p. 120-125.

Research output: Contribution to journalArticle

Venrooij, Joost ; Olivari, Mario ; Bulthoff, Heinrich. / Biodynamic Feedthrough : Current Status and Open Issues. In: IFAC-PapersOnLine. 2016 ; Vol. 49, No. 19. pp. 120-125.
@article{4c944966050e432eb7e8d20314b3299e,
title = "Biodynamic Feedthrough: Current Status and Open Issues",
abstract = "Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the body of a human operator, causing involuntary limb motions, which in turn result in involuntary control inputs. Manual control of many different vehicles is known to be vulnerable to BDFT effects, such as that of helicopters, aircraft, electric wheelchairs and hydraulic excavators. This paper provides a brief review of BDFT literature, which serves as a basis for identifying the fundamental challenges that remain to be addressed in future BDFT research. One of these challenges, time-variant BDFT identification, is discussed in more detail. Currently, it is often assumed that BDFT dynamics are (quasi)linear and time-invariant. This assumption can only be justified when measuring BDFT under carefully crafted experimental conditions, which are very different from real-world situations. As BDFT dynamics depend on neuromuscular dynamics, they are typically time-varying. This paper investigates the suitability of a recently developed time-variant identification approach, based on a recursive least-squares algorithm, which has been successfully used to identify time-varying neuromuscular dynamics.",
keywords = "biodynamic feedthrough, cybernetics, time-variant identification",
author = "Joost Venrooij and Mario Olivari and Heinrich Bulthoff",
year = "2016",
doi = "10.1016/j.ifacol.2016.10.472",
language = "English",
volume = "49",
pages = "120--125",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "19",

}

TY - JOUR

T1 - Biodynamic Feedthrough

T2 - Current Status and Open Issues

AU - Venrooij, Joost

AU - Olivari, Mario

AU - Bulthoff, Heinrich

PY - 2016

Y1 - 2016

N2 - Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the body of a human operator, causing involuntary limb motions, which in turn result in involuntary control inputs. Manual control of many different vehicles is known to be vulnerable to BDFT effects, such as that of helicopters, aircraft, electric wheelchairs and hydraulic excavators. This paper provides a brief review of BDFT literature, which serves as a basis for identifying the fundamental challenges that remain to be addressed in future BDFT research. One of these challenges, time-variant BDFT identification, is discussed in more detail. Currently, it is often assumed that BDFT dynamics are (quasi)linear and time-invariant. This assumption can only be justified when measuring BDFT under carefully crafted experimental conditions, which are very different from real-world situations. As BDFT dynamics depend on neuromuscular dynamics, they are typically time-varying. This paper investigates the suitability of a recently developed time-variant identification approach, based on a recursive least-squares algorithm, which has been successfully used to identify time-varying neuromuscular dynamics.

AB - Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the body of a human operator, causing involuntary limb motions, which in turn result in involuntary control inputs. Manual control of many different vehicles is known to be vulnerable to BDFT effects, such as that of helicopters, aircraft, electric wheelchairs and hydraulic excavators. This paper provides a brief review of BDFT literature, which serves as a basis for identifying the fundamental challenges that remain to be addressed in future BDFT research. One of these challenges, time-variant BDFT identification, is discussed in more detail. Currently, it is often assumed that BDFT dynamics are (quasi)linear and time-invariant. This assumption can only be justified when measuring BDFT under carefully crafted experimental conditions, which are very different from real-world situations. As BDFT dynamics depend on neuromuscular dynamics, they are typically time-varying. This paper investigates the suitability of a recently developed time-variant identification approach, based on a recursive least-squares algorithm, which has been successfully used to identify time-varying neuromuscular dynamics.

KW - biodynamic feedthrough

KW - cybernetics

KW - time-variant identification

UR - http://www.scopus.com/inward/record.url?scp=84994895370&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994895370&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2016.10.472

DO - 10.1016/j.ifacol.2016.10.472

M3 - Article

VL - 49

SP - 120

EP - 125

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 19

ER -