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  Methods for Multiloop Identification of Visual and Neuromuscular Pilot Responses

Olivari, M., Nieuwenhuizen, F., Venrooij, J., Bülthoff, H., & Pollini, L. (2015). Methods for Multiloop Identification of Visual and Neuromuscular Pilot Responses. IEEE Transactions on Cybernetics, 45(12), 2780-2791. doi:10.1109/TCYB.2014.2384525.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4389-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-B48F-4
Genre: Journal Article

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Olivari, M1, Author              
Nieuwenhuizen, F1, Author              
Venrooij, J1, 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: In this paper, identification methods are proposed to estimate the neuromuscular and visual responses of a multiloop pilot model. A conventional and widely used technique for simultaneous identification of the neuromuscular and visual systems makes use of cross-spectral density estimates. This paper shows that this technique requires a specific noninterference hypothesis, often implicitly assumed, that may be difficult to meet during actual experimental designs. A mathematical justification of the necessity of the noninterference hypothesis is given. Furthermore, two methods are proposed that do not have the same limitations. The first method is based on autoregressive models with exogenous inputs, whereas the second one combines cross-spectral estimators with interpolation in the frequency domain. The two identification methods are validated by offline simulations and contrasted to the classic method. The results reveal that the classic method fails when the noninterference hypothesis is not fulfilled; on the contrary, the two proposed techniques give reliable estimates. Finally, the three identification methods are applied to experimental data from a closed-loop control task with pilots. The two proposed techniques give comparable estimates, different from those obtained by the classic method. The differences match those found with the simulations. Thus, the two identification methods provide a good alternative to the classic method and make it possible to simultaneously estimate human's neuromuscular and visual responses in cases where the classic method fails.

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 Dates: 2015-12
 Publication Status: Published in print
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 Identifiers: DOI: 10.1109/TCYB.2014.2384525
BibTex Citekey: OlivariNVBP2013
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Title: IEEE Transactions on Cybernetics
Source Genre: Journal
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Pages: - Volume / Issue: 45 (12) Sequence Number: - Start / End Page: 2780 - 2791 Identifier: -