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A Recognition Method for Road Hypnosis Based on Physiological Characteristics
Road hypnosis is a state which is easy to appear frequently in monotonous scenes and has a great influence on traffic safety. The effective detection for road hypnosis can improve the intelligent vehicle. In this paper, the simulated experiment and vehicle experiment are designed and carried out to...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099380/ https://www.ncbi.nlm.nih.gov/pubmed/37050464 http://dx.doi.org/10.3390/s23073404 |
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author | Wang, Bin Shi, Huili Chen, Longfei Wang, Xiaoyuan Wang, Gang Zhong, Fusheng |
author_facet | Wang, Bin Shi, Huili Chen, Longfei Wang, Xiaoyuan Wang, Gang Zhong, Fusheng |
author_sort | Wang, Bin |
collection | PubMed |
description | Road hypnosis is a state which is easy to appear frequently in monotonous scenes and has a great influence on traffic safety. The effective detection for road hypnosis can improve the intelligent vehicle. In this paper, the simulated experiment and vehicle experiment are designed and carried out to obtain the physiological characteristics data of road hypnosis. A road hypnosis recognition model based on physiological characteristics is proposed. Higher-order spectra are used to preprocess the electrocardiogram (ECG) and electromyography (EMG) data, which can be further fused by principal component analysis (PCA). The Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), and K-Nearest Neighbor (KNN) models are constructed to identify road hypnosis. The proposed model has good identification performance on road hypnosis. It provides more alternative methods and technical support for real-time and accurate identification of road hypnosis. It is of great significance to improve the intelligence and active safety of intelligent vehicles. |
format | Online Article Text |
id | pubmed-10099380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100993802023-04-14 A Recognition Method for Road Hypnosis Based on Physiological Characteristics Wang, Bin Shi, Huili Chen, Longfei Wang, Xiaoyuan Wang, Gang Zhong, Fusheng Sensors (Basel) Article Road hypnosis is a state which is easy to appear frequently in monotonous scenes and has a great influence on traffic safety. The effective detection for road hypnosis can improve the intelligent vehicle. In this paper, the simulated experiment and vehicle experiment are designed and carried out to obtain the physiological characteristics data of road hypnosis. A road hypnosis recognition model based on physiological characteristics is proposed. Higher-order spectra are used to preprocess the electrocardiogram (ECG) and electromyography (EMG) data, which can be further fused by principal component analysis (PCA). The Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), and K-Nearest Neighbor (KNN) models are constructed to identify road hypnosis. The proposed model has good identification performance on road hypnosis. It provides more alternative methods and technical support for real-time and accurate identification of road hypnosis. It is of great significance to improve the intelligence and active safety of intelligent vehicles. MDPI 2023-03-23 /pmc/articles/PMC10099380/ /pubmed/37050464 http://dx.doi.org/10.3390/s23073404 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Bin Shi, Huili Chen, Longfei Wang, Xiaoyuan Wang, Gang Zhong, Fusheng A Recognition Method for Road Hypnosis Based on Physiological Characteristics |
title | A Recognition Method for Road Hypnosis Based on Physiological Characteristics |
title_full | A Recognition Method for Road Hypnosis Based on Physiological Characteristics |
title_fullStr | A Recognition Method for Road Hypnosis Based on Physiological Characteristics |
title_full_unstemmed | A Recognition Method for Road Hypnosis Based on Physiological Characteristics |
title_short | A Recognition Method for Road Hypnosis Based on Physiological Characteristics |
title_sort | recognition method for road hypnosis based on physiological characteristics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099380/ https://www.ncbi.nlm.nih.gov/pubmed/37050464 http://dx.doi.org/10.3390/s23073404 |
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