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Study of driving skill level discrimination based on human physiological signal characteristics
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 E...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092114/ https://www.ncbi.nlm.nih.gov/pubmed/35558811 http://dx.doi.org/10.1039/c8ra08523d |
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author | Wang, Fuwang Xu, Qing Fu, Rongrong Sun, Guangbin |
author_facet | Wang, Fuwang Xu, Qing Fu, Rongrong Sun, Guangbin |
author_sort | Wang, Fuwang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9092114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-90921142022-05-11 Study of driving skill level discrimination based on human physiological signal characteristics Wang, Fuwang Xu, Qing Fu, Rongrong Sun, Guangbin RSC Adv Chemistry 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 Royal Society of Chemistry 2018-12-18 /pmc/articles/PMC9092114/ /pubmed/35558811 http://dx.doi.org/10.1039/c8ra08523d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Wang, Fuwang Xu, Qing Fu, Rongrong Sun, Guangbin Study of driving skill level discrimination based on human physiological signal characteristics |
title | Study of driving skill level discrimination based on human physiological signal characteristics |
title_full | Study of driving skill level discrimination based on human physiological signal characteristics |
title_fullStr | Study of driving skill level discrimination based on human physiological signal characteristics |
title_full_unstemmed | Study of driving skill level discrimination based on human physiological signal characteristics |
title_short | Study of driving skill level discrimination based on human physiological signal characteristics |
title_sort | study of driving skill level discrimination based on human physiological signal characteristics |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092114/ https://www.ncbi.nlm.nih.gov/pubmed/35558811 http://dx.doi.org/10.1039/c8ra08523d |
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