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Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate...

Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fcb4abe46ea3429a846854add5899cc4

Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate Entropy Statistic Characteristic in Vehicle Running State

About this item

Full title

Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate Entropy Statistic Characteristic in Vehicle Running State

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Journal of advanced transportation, 2017-01, Vol.2017 (2017), p.1-14

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

In the driver fatigue monitoring technology, the essence is to capture and analyze the driver behavior information, such as eyes, face, heart, and EEG activity during driving. However, ECG and EEG monitoring are limited by the installation electrodes and are not commercially available. The most common fatigue detection method is the analysis of dri...

Alternative Titles

Full title

Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate Entropy Statistic Characteristic in Vehicle Running State

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fcb4abe46ea3429a846854add5899cc4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fcb4abe46ea3429a846854add5899cc4

Other Identifiers

ISSN

0197-6729

E-ISSN

2042-3195

DOI

10.1155/2017/9509213

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