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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 5215874, 8 pages
Research Article

Analysis on the Correlation Degree between the Driver’s Reaction Ability and Physiological Parameters

School of Transportation, Jilin University, Changchun 130022, China

Correspondence should be addressed to Linhong Wang; nc.ude.ulj@gnohnilgnaw

Received 2 June 2016; Revised 1 December 2016; Accepted 18 January 2017; Published 8 February 2017

Academic Editor: Kalyana C. Veluvolu

Copyright © 2017 Shiwu Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In this paper, the correlation degree between driver’s reaction time and the physiological signal is analyzed. For this purpose, a large number of road experiments are performed using the biopac and the reaction time test systems to collect data. First, the electroencephalograph (EEG) signal is processed by using the fast Fourier and the inverse Fourier transforms. Then, the power spectrum densities (PSD) of α, β, δ, and EEG wave are calculated by Welch procedure. The average power of the power spectrum of α, β, and θ is calculated by the biopac software and two ratio formulas, and α/β, are selected to be the impact factors. After that the heart rate and the standard deviation of RR interval are calculated from the electrocardiograph (ECG) signal. Lastly, the correlation degree between the eight impact factors and the reaction time are analyzed based on the grey correlation analysis. The results demonstrate that α/β has the greatest correlation to the reaction time except EEG-PSD. Furthermore, two mathematical models for the reaction time-driving time and the α/β-driving time are developed based on the Gaussian function. These mathematical models are then finally used to establish the functional relation of α/β-the reaction time.