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  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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-442F-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-BD52-9
Genre: Conference Paper

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http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=arnumber=7379667 (Publisher version)
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 Creators:
Olivari, M1, 2, Author           
Nieuwenhuizen, FM1, 2, Author           
Bülthoff, HH1, 2, Author           
Pollini, L, 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, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 2015-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/SMC.2015.535
BibTex Citekey: OlivariNBP2015_2
 Degree: -

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Title: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)
Place of Event: Hong Kong, China
Start-/End Date: 2015-10-09 - 2015-10-12

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