Wireless Communications and Mobile Computing / 2018 / Article / Fig 2

Research Article

Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids

Figure 2

Feature importances as emerging from the Gini criterion of each RF model. The error bars refer to the Gini value over 5-fold. Note that EDA, mean tonic EDA (TM), and heart rate (HR) emerge as the most predictive biomarkers for the prediction of the cognitive load index all the frequency bands showing the stability of the approach.
(a) Delta band
(b) Theta band
(c) Alpha 1 band
(d) Alpha 2 band
(e) Beta band
(f) Gamma band

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