FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890770085> ?p ?o ?g. }

• W2890770085 endingPage "1328" @default.
• W2890770085 startingPage "1322" @default.
• W2890770085 abstract "Driver's fatigue detection, based on electroencephalography (EEG) signals, is a worthy field of research to study evidence regarding how to exactly pre-warn and avoid casualties nowadays. In this study, an EEG-based system of perfect performance and good stability for evaluating driver's fatigue with only one electrode by ensemble learning method is proposed. Given that EEG signals are unstable and non-linear that using several common entropy measurements to analyse EEG signals is more appropriate including spectral entropy, approximate entropy, sample entropy and fuzzy entropy. In this study, unlike other methods using a single classifier, three ensemble approaches (bagging, random forest and boosting) based on three base classifiers were employed and compared. A driving simulator in this study was used for 12 healthy and adult subjects to perform a continuous simulated driving experiment for 1–2 h. The experimental results show that the proposed method can make use of only one electrode (T6) by gradient boosted DT for driver's fatigue detection, while the average classification accuracy is >94%. The findings of this study indicated that a single EEG channel with optimal ensemble classifier may be a good candidate for usage in the portable system for driver's fatigue detection." @default.
• W2890770085 created "2018-09-27" @default.
• W2890770085 creator A5017658038 @default.
• W2890770085 creator A5043745622 @default.
• W2890770085 creator A5046721487 @default.
• W2890770085 date "2018-10-15" @default.
• W2890770085 modified "2023-10-16" @default.
• W2890770085 title "Ensemble classifier for driver's fatigue detection based on a single EEG channel" @default.
• W2890770085 cites W1277998619 @default.
• W2890770085 cites W1605688901 @default.
• W2890770085 cites W1678356000 @default.
• W2890770085 cites W1964000773 @default.
• W2890770085 cites W1965233495 @default.
• W2890770085 cites W1974928465 @default.
• W2890770085 cites W1983988683 @default.
• W2890770085 cites W1985441869 @default.
• W2890770085 cites W1991919071 @default.
• W2890770085 cites W2021589706 @default.
• W2890770085 cites W2021970732 @default.
• W2890770085 cites W2025208635 @default.
• W2890770085 cites W2025623975 @default.
• W2890770085 cites W2043133488 @default.
• W2890770085 cites W2052604480 @default.
• W2890770085 cites W2059325453 @default.
• W2890770085 cites W2065412417 @default.
• W2890770085 cites W2071832993 @default.
• W2890770085 cites W2073738917 @default.
• W2890770085 cites W2078718207 @default.
• W2890770085 cites W2092728879 @default.
• W2890770085 cites W2144106141 @default.
• W2890770085 cites W2152761983 @default.
• W2890770085 cites W2156552533 @default.
• W2890770085 cites W2286439238 @default.
• W2890770085 cites W2291961022 @default.
• W2890770085 cites W2316106704 @default.
• W2890770085 cites W2346792925 @default.
• W2890770085 cites W2468367897 @default.
• W2890770085 cites W2513975684 @default.
• W2890770085 cites W2516904419 @default.
• W2890770085 cites W2558686573 @default.
• W2890770085 cites W2587124275 @default.
• W2890770085 cites W2602920371 @default.
• W2890770085 cites W2739100160 @default.
• W2890770085 cites W2771546113 @default.
• W2890770085 cites W2787894218 @default.
• W2890770085 cites W2911964244 @default.
• W2890770085 cites W4212883601 @default.
• W2890770085 cites W4245266152 @default.
• W2890770085 cites W4256647193 @default.
• W2890770085 doi "https://doi.org/10.1049/iet-its.2018.5290" @default.
• W2890770085 hasPublicationYear "2018" @default.
• W2890770085 type Work @default.
• W2890770085 sameAs 2890770085 @default.
• W2890770085 citedByCount "33" @default.
• W2890770085 countsByYear W28907700852019 @default.
• W2890770085 countsByYear W28907700852020 @default.
• W2890770085 countsByYear W28907700852021 @default.
• W2890770085 countsByYear W28907700852022 @default.
• W2890770085 countsByYear W28907700852023 @default.
• W2890770085 crossrefType "journal-article" @default.
• W2890770085 hasAuthorship W2890770085A5017658038 @default.
• W2890770085 hasAuthorship W2890770085A5043745622 @default.
• W2890770085 hasAuthorship W2890770085A5046721487 @default.
• W2890770085 hasConcept C106301342 @default.
• W2890770085 hasConcept C118552586 @default.
• W2890770085 hasConcept C121332964 @default.
• W2890770085 hasConcept C153180895 @default.
• W2890770085 hasConcept C154945302 @default.
• W2890770085 hasConcept C15744967 @default.
• W2890770085 hasConcept C169258074 @default.
• W2890770085 hasConcept C28490314 @default.
• W2890770085 hasConcept C41008148 @default.
• W2890770085 hasConcept C45942800 @default.
• W2890770085 hasConcept C46686674 @default.
• W2890770085 hasConcept C522805319 @default.
• W2890770085 hasConcept C62520636 @default.
• W2890770085 hasConcept C66696666 @default.
• W2890770085 hasConcept C86859247 @default.
• W2890770085 hasConcept C95623464 @default.
• W2890770085 hasConceptScore W2890770085C106301342 @default.
• W2890770085 hasConceptScore W2890770085C118552586 @default.
• W2890770085 hasConceptScore W2890770085C121332964 @default.
• W2890770085 hasConceptScore W2890770085C153180895 @default.
• W2890770085 hasConceptScore W2890770085C154945302 @default.
• W2890770085 hasConceptScore W2890770085C15744967 @default.
• W2890770085 hasConceptScore W2890770085C169258074 @default.
• W2890770085 hasConceptScore W2890770085C28490314 @default.
• W2890770085 hasConceptScore W2890770085C41008148 @default.
• W2890770085 hasConceptScore W2890770085C45942800 @default.
• W2890770085 hasConceptScore W2890770085C46686674 @default.
• W2890770085 hasConceptScore W2890770085C522805319 @default.
• W2890770085 hasConceptScore W2890770085C62520636 @default.
• W2890770085 hasConceptScore W2890770085C66696666 @default.
• W2890770085 hasConceptScore W2890770085C86859247 @default.
• W2890770085 hasConceptScore W2890770085C95623464 @default.
• W2890770085 hasFunder F4320321001 @default.
• W2890770085 hasIssue "10" @default.
• W2890770085 hasLocation W28907700851 @default.

• next