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A Multiple Correspondence Analysis and Fuzzy Set based approach for the analysis of pathology drivers from healthy drivers. A case study with the steering wheel control

Abstract : The proposed approach starts performing a fuzzy space windowing from the histogram analysis. Then multiple correspondence analyses is used through two main stages: 1) with the membership value table coming from healthy drivers and 2) with the table from disabled drivers, the table rows being considered as supplementary points. An example is considered with an experimental design involving three factors –individual, road configuration and repetition– and multidimensional signals with 95 components. This article focuses on the analysis of healthy drivers.
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Conference papers
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https://hal-uphf.archives-ouvertes.fr/hal-03468293
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Submitted on : Tuesday, December 7, 2021 - 9:22:23 AM
Last modification on : Wednesday, December 8, 2021 - 3:54:03 AM

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  • HAL Id : hal-03468293, version 1

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Pierre Loslever, Jessica Schiro, François Gabrielli, Philippe Pudlo. A Multiple Correspondence Analysis and Fuzzy Set based approach for the analysis of pathology drivers from healthy drivers. A case study with the steering wheel control. 12th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Aug 2013, Las Vegas, Nevada, United States. ⟨hal-03468293⟩

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