Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293732104> ?p ?o ?g. }
- W4293732104 endingPage "19059" @default.
- W4293732104 startingPage "19046" @default.
- W4293732104 abstract "Driving fatigue seriously threatens traffic safety. In our work, the multifractal detrended fluctuation analysis (MF-DFA) method is proposed to detect driver fatigue caused by driving for a long time. First, the <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$theta $ </tex-math></inline-formula> (4 ~ 7 Hz) and <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$beta $ </tex-math></inline-formula> (14 ~ 32 Hz) subbands of subjects’ electroencephalogram (EEG) signals were extracted. Furthermore, the multifractal spectrum characteristic indexes, the fluctuation function, mass exponent, Hurst exponent, spectral width values, and symmetry, were analyzed. Finally, the characteristics of different driving states of subjects were compared and analyzed. The results show that there are significant differences in the Hurst exponent width values of the subjects’ EEG signals corresponding to different driving times, and the spectrum width values and symmetry of the multifractal spectrum. In addition, compared with several typical fatigue detection methods, the absolute value of the slope of the fit straight line for fatigue feature extraction by MF-DFA is larger. It means that the MF-DFA method is more effective in detecting driving fatigue." @default.
- W4293732104 created "2022-08-31" @default.
- W4293732104 creator A5006717122 @default.
- W4293732104 creator A5039412838 @default.
- W4293732104 creator A5064067547 @default.
- W4293732104 creator A5084665040 @default.
- W4293732104 date "2022-10-01" @default.
- W4293732104 modified "2023-10-16" @default.
- W4293732104 title "A Driving Fatigue Feature Detection Method Based on Multifractal Theory" @default.
- W4293732104 cites W1948986637 @default.
- W4293732104 cites W1954058195 @default.
- W4293732104 cites W1965982446 @default.
- W4293732104 cites W1969324628 @default.
- W4293732104 cites W1977579160 @default.
- W4293732104 cites W1982754133 @default.
- W4293732104 cites W1985409598 @default.
- W4293732104 cites W1986227389 @default.
- W4293732104 cites W1991446846 @default.
- W4293732104 cites W1992229700 @default.
- W4293732104 cites W2001844653 @default.
- W4293732104 cites W2010643019 @default.
- W4293732104 cites W2017821362 @default.
- W4293732104 cites W2028424602 @default.
- W4293732104 cites W2029772767 @default.
- W4293732104 cites W2031753087 @default.
- W4293732104 cites W2043080228 @default.
- W4293732104 cites W2057728542 @default.
- W4293732104 cites W2067351777 @default.
- W4293732104 cites W2070173826 @default.
- W4293732104 cites W2071602085 @default.
- W4293732104 cites W2077720220 @default.
- W4293732104 cites W2095987408 @default.
- W4293732104 cites W2103484453 @default.
- W4293732104 cites W2137751050 @default.
- W4293732104 cites W2147264168 @default.
- W4293732104 cites W2149407270 @default.
- W4293732104 cites W2167577506 @default.
- W4293732104 cites W2169911723 @default.
- W4293732104 cites W2174958781 @default.
- W4293732104 cites W2241667675 @default.
- W4293732104 cites W2319734199 @default.
- W4293732104 cites W2468367897 @default.
- W4293732104 cites W2551637882 @default.
- W4293732104 cites W2594299188 @default.
- W4293732104 cites W2598506668 @default.
- W4293732104 cites W2789551001 @default.
- W4293732104 cites W2883827556 @default.
- W4293732104 cites W2888206852 @default.
- W4293732104 cites W2889493544 @default.
- W4293732104 cites W2892217709 @default.
- W4293732104 cites W2902761404 @default.
- W4293732104 cites W2914567046 @default.
- W4293732104 cites W2933338709 @default.
- W4293732104 cites W2940295770 @default.
- W4293732104 cites W2943947171 @default.
- W4293732104 cites W2946966984 @default.
- W4293732104 cites W2950524623 @default.
- W4293732104 cites W2955569539 @default.
- W4293732104 cites W2956246994 @default.
- W4293732104 cites W2959147313 @default.
- W4293732104 cites W2969976525 @default.
- W4293732104 cites W2973010960 @default.
- W4293732104 cites W2980752386 @default.
- W4293732104 cites W2987939169 @default.
- W4293732104 cites W2991800222 @default.
- W4293732104 cites W2992422066 @default.
- W4293732104 cites W2995203993 @default.
- W4293732104 cites W2996471713 @default.
- W4293732104 cites W3004417023 @default.
- W4293732104 cites W3015468458 @default.
- W4293732104 cites W3015528157 @default.
- W4293732104 cites W3023531684 @default.
- W4293732104 cites W3031861466 @default.
- W4293732104 cites W3040942378 @default.
- W4293732104 cites W3048118698 @default.
- W4293732104 cites W3090101452 @default.
- W4293732104 cites W3096228725 @default.
- W4293732104 cites W3130728323 @default.
- W4293732104 cites W3151715958 @default.
- W4293732104 cites W3165722094 @default.
- W4293732104 cites W3181242778 @default.
- W4293732104 cites W3200116103 @default.
- W4293732104 cites W3203523785 @default.
- W4293732104 doi "https://doi.org/10.1109/jsen.2022.3201015" @default.
- W4293732104 hasPublicationYear "2022" @default.
- W4293732104 type Work @default.
- W4293732104 citedByCount "53" @default.
- W4293732104 countsByYear W42937321042023 @default.
- W4293732104 crossrefType "journal-article" @default.
- W4293732104 hasAuthorship W4293732104A5006717122 @default.
- W4293732104 hasAuthorship W4293732104A5039412838 @default.
- W4293732104 hasAuthorship W4293732104A5064067547 @default.
- W4293732104 hasAuthorship W4293732104A5084665040 @default.
- W4293732104 hasConcept C105795698 @default.
- W4293732104 hasConcept C11413529 @default.
- W4293732104 hasConcept C133905733 @default.
- W4293732104 hasConcept C134306372 @default.
- W4293732104 hasConcept C138885662 @default.