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  Biodynamic Feedthrough: Current Status and Open Issues

Venrooij, J., Olivari, M., & Bülthoff, H. (2016). Biodynamic Feedthrough: Current Status and Open Issues. IFAC-PapersOnLine, 49(19), 120-125.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7A7A-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-89E5-0
Genre: Conference Paper

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 Creators:
Venrooij, J1, Author              
Olivari, M1, 2, 3, 4, Author              
Bülthoff, HH1, 2, 3, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              
4Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              

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 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.

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 Dates: 2016-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.ifacol.2016.10.472
BibTex Citekey: VenrooijOB2016
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Title: 13th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (HMS 2016)
Place of Event: Kyoto, Japan
Start-/End Date: 2016-08-30 - 2016-09-02

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Title: IFAC-PapersOnLine
  Other : IFAC Papers Online
Source Genre: Journal
 Creator(s):
Sawaragi, T., Editor
Affiliations:
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Publ. Info: Frankfurt ; München [u.a.] : Elsevier
Pages: - Volume / Issue: 49 (19) Sequence Number: - Start / End Page: 120 - 125 Identifier: ISSN: 2405-8963
CoNE: https://pure.mpg.de/cone/journals/resource/2405-8963