Fractal Dimension as Quantifier of EEG Activity in Driving Simulation Sebastián, María Victoria Di Stasi, Leandro Luigi Díaz Piedra, Carolina Fractal dimension Electroencephalogram Driving simulation Interpolation Dynamical systems and fractal theory methodologies have been proved useful for the modeling and analysis of experimental datasets and, in particular, for electroencephalographic signals. The computation of the fractal dimension of approximation curves in the plane enables the assignment of numerical values to bioelectric recordings in order to discriminate between different states of the observed system. The procedure does not require the stationarity of the signals nor extremely long segments of data. In previous works, we checked that this parameter is a good index for brain activity. In this paper, we consider this measurement in order to quantify the geometric complexity of the brain waves in states of rest and during vehicle driving simulation in different scenarios. This work presents evidence that the fractal dimension allows the detection of the brain bioelectric changes produced in the areas that carry out the different driving simulation tasks, increasing with their complexity. 2021-06-08T06:42:02Z 2021-06-08T06:42:02Z 2021 journal article Sebastián, M.V.; Navascués, M.A.; Otal, A.; Ruiz, C.; Idiazábal, M.Á.; Di Stasi, L.L.; Díaz-Piedra, C. Fractal Dimension as Quantifier of EEG Activity in Driving Simulation. Mathematics 2021, 9, 11. https:// doi.org/10.3390/math9111311 http://hdl.handle.net/10481/69037 10.3390/math9111311 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España MDPI