Study of driving skill level discrimination based on human physiological signal characteristics |
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| Authors: | Fuwang Wang Qing Xu Rongrong Fu Guangbin Sun |
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| Institution: | School of Mechanic Engineering, Northeast Electric Power University, Jilin 132012 China, +86-432-64807382 ; College of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China ; Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094 China, |
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| 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.The study of driving skill level discrimination based on EEG, EOG and ECG characteristics, which uses the driver''s license examination “subject two”, is carried out in our current research work. |
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