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. 2018 Dec 18;8(73):42160-42169.
doi: 10.1039/c8ra08523d. eCollection 2018 Dec 12.

Study of driving skill level discrimination based on human physiological signal characteristics

Affiliations

Study of driving skill level discrimination based on human physiological signal characteristics

Fuwang Wang et al. RSC Adv. .

Abstract

The primary purpose of the study is to distinguish the differences in driving skill between novice and experienced drivers from the viewpoint of human cognitive behavior. Firstly, EEG (electroencephalogram) signals were collected using EEG acquisition equipment called Neuroscan. The δ sub-band and EOG (electrooculogram) signals were extracted from the EEG. Furthermore, the eye movement rate and the sample entropy (SampEn) values of δ sub-bands were calculated. Finally, the heart rate variability (HRV) characteristics, calculated using the SampEn algorithm, were used to analyze driving skill. The final result showed that human physiological signals (EEG, EOG and ECG (electrocardiogram)) could effectively distinguish different driving skills.

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Conflict of interest statement

The authors declare no conflict of interests.

Figures

Fig. 1
Fig. 1. Experimental setup.
Fig. 2
Fig. 2. Driver's license examination “subject two”. (A) Reverse parking (B) parallel parking (C) fixed-point parking and starting on ramp (D) right angle bend (E) S-shaped road driving.
Fig. 3
Fig. 3. BP neural network.
Fig. 4
Fig. 4. The SampEn values of EEG signals corresponding to subjects with different driving levels. (A) Reverse parking (B) parallel parking (C) fixed-point parking and starting on ramp (D) right angle bend (E) S-shaped road driving.
Fig. 5
Fig. 5. The comparison of brain topography of a novice driver and a experienced driver. (a) Novice drivers (b) experienced drivers.
Fig. 6
Fig. 6. Eye movement signals.
Fig. 7
Fig. 7. The sum of the eye movements of each driver in the five experiments. (A) Reverse parking (B) parallel parking (C) fixed-point parking and starting on ramp (D) right angle bend (E) S-shaped road driving.
Fig. 8
Fig. 8. The ECG of one subject.
Fig. 9
Fig. 9. The comparison of the HRV characteristics between the novice drivers and the experienced drivers. (A) Reverse parking (B) parallel parking (C) fixed-point parking and starting on ramp (D) right angle bend (E) S-shaped road driving.

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