Study of driving skill level discrimination based on human physiological signal characteristics
- PMID: 35558811
- PMCID: PMC9092114
- DOI: 10.1039/c8ra08523d
Study of driving skill level discrimination based on human physiological signal characteristics
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.
This journal is © The Royal Society of Chemistry.
Conflict of interest statement
The authors declare no conflict of interests.
Figures









Similar articles
-
Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy.Entropy (Basel). 2018 Mar 15;20(3):196. doi: 10.3390/e20030196. Entropy (Basel). 2018. PMID: 33265287 Free PMC article.
-
Dynamic brain-heart-gut coupling during sleep: a continuous physiological signal analysis.Front Neurosci. 2025 May 26;19:1594759. doi: 10.3389/fnins.2025.1594759. eCollection 2025. Front Neurosci. 2025. PMID: 40491939 Free PMC article.
-
A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichannel Electroencephalogram Signals.Front Neurosci. 2021 Oct 11;15:729403. doi: 10.3389/fnins.2021.729403. eCollection 2021. Front Neurosci. 2021. PMID: 34707475 Free PMC article.
-
EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface.Neuroinformatics. 2019 Jul;17(3):323-341. doi: 10.1007/s12021-018-9402-0. Neuroinformatics. 2019. PMID: 30368637 Review.
-
Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review.Sensors (Basel). 2019 Oct 29;19(21):4708. doi: 10.3390/s19214708. Sensors (Basel). 2019. PMID: 31671921 Free PMC article. Review.
Cited by
-
Research on Driving Fatigue Alleviation Using Interesting Auditory Stimulation Based on VMD-MMSE.Entropy (Basel). 2021 Sep 14;23(9):1209. doi: 10.3390/e23091209. Entropy (Basel). 2021. PMID: 34573834 Free PMC article.
References
-
- Shinar D., Traffic Safety and Human Behavior, Accident Causes, 2007
-
- Knutsson U. K. Swedish National Road and Transport Research Institute. IATSS Research. 2003;27(2):88–91. doi: 10.1016/S0386-1112(14)60150-3. - DOI
LinkOut - more resources
Full Text Sources