English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Identifying Time-Varying Neuromuscular Response: a Recursive Least-Squares Algorithm with Pseudoinverse

Olivari, M., Nieuwenhuizen, F., Bülthoff, H., & Pollini, L. (2015). Identifying Time-Varying Neuromuscular Response: a Recursive Least-Squares Algorithm with Pseudoinverse. In IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015) (pp. 3079-3085). Piscataway, NJ, USA: IEEE.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-442F-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-81D7-B
Genre: Conference Paper

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Olivari, M1, Author              
Nieuwenhuizen, FM1, Author              
Bülthoff, HH1, Author              
Pollini, L, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

Content

show
hide
Free keywords: -
 Abstract: Effectiveness of hap tic guidance systems depends on how humans adapt their neuromuscular response to the force feedback. A quantitative insight into adaptation of neuromuscular response can be obtained by identifying neuromuscular dynamics. Since humans are likely to vary their neuromuscular response during realistic control scenarios, there is a need for methods that can identify time-varying neuromuscular dynamics. In this work an identification method is developed which estimates the impulse response of time-varying neuromuscular system by using a Recursive Least Squares (RLS) method. The proposed method extends the commonly used RLS-based method by employing the pseudo inverse operator instead of the inverse operator. This results in improved robustness to external noise. The method was validated in a human in-the-loop experiment. The neuromuscular estimates given by the proposed method were more accurate than those obtained with the commonly used RLS-based method.

Details

show
hide
Language(s):
 Dates: 2015-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1109/SMC.2015.535
BibTex Citekey: OlivariNBP2015_2
 Degree: -

Event

show
hide
Title: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)
Place of Event: Hong Kong, China
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3079 - 3085 Identifier: ISBN: 978-1-4799-8696-5