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.