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  Identifying Time-Varying Neuromuscular Response: Experimental Evaluation of a RLS-based Algorithm

Olivari, M., Nieuwenhuizen, F., Bülthoff, H., & Pollini, L. (2015). Identifying Time-Varying Neuromuscular Response: Experimental Evaluation of a RLS-based Algorithm. In AIAA Modeling and Simulation Technologies Conference 2015: held at the SciTech Forum 2015 (pp. 284-298). Red Hook, NY, USA: Curran.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-479F-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-80B3-4
Genre: Conference Paper

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 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              

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 Abstract: Methods for identifying neuromuscular response commonly assume time-invariant neuromuscular dynamics. However, neuromuscular dynamics are likely to change during realistic control scenarios. In a previous paper we presented a method for identifying time-varying neuromuscular dynamics based on a Recursive Least Squares (RLS) algorithm. To date, this method has only been validated in a Monte Carlo simulation study. This paper presents an experimental validation of the same method. In the experiment, three different disturbance-rejection tasks were performed: a position task with the human instructed to minimize the stick deflection in front of an external force disturbance, a relax task with the instruction to relax the arm, and a time-varying task with the instruction to alternate between position and relax tasks. The position and relax tasks induce different time-invariant neuromuscular dynamics, whereas the time-varying task induces time-varying neuromuscular dynamics. The RLS-based method was used to estimate neuromuscular dynamics in the three tasks. The neuromuscular estimates were reliable both in time-invariant and time-varying tasks. These findings indicate that the RLS-based method can be used to estimate time-varying neuromuscular responses in human-in-the loop experiments.

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 Dates: 2015-01
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.2514/6.2015-0658
BibTex Citekey: OlivariNBP2015
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Title: AIAA Modeling and Simulation Technologies Conference 2015: held at the SciTech Forum 2015
Place of Event: Kissimmee, FL, USA
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Title: AIAA Modeling and Simulation Technologies Conference 2015: held at the SciTech Forum 2015
Source Genre: Proceedings
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Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 284 - 298 Identifier: ISBN: 978-1-5108-0111-0