  The reaction times of individuals over consecutive visual stimuli have been
studied using spectral analysis and a failure machinery approach. The used
tools include the fast Fourier transform and a spectral entropy analysis. The
results indicate that the reaction times produced by the independently
responding individuals to visual stimuli appear to be correlated. The spectral
analysis and the entropy of the spectrum yield that there are features of
similarity in the response times of each participant and among them.
Furthermore, the analysis of the mistakes made by the participants during the
reaction time experiments concluded that they follow a behavior which is
consistent with the MTBF (Mean Time Between Failures) model, widely used in
industry for the predictive diagnosis of electrical machines and equipment.
