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Volumn , Issue , 2009, Pages

Detecting of driver's drowsiness using multiwavelet packet energy spectrum

Author keywords

Component; Formatting; Insert (key words); Style; Styling

Indexed keywords

CHARACTERISTIC SIGNAL; DRIVER FATIGUE; DRIVING FATIGUE; DRIVING STATE; ENERGY SPECTRA; FATIGUE CHARACTERISTICS; INSERT (KEY WORDS); MULTI-WAVELET PACKET; MULTI-WAVELETS; MULTIWAVELET; SCALING FUNCTIONS; STATE INFORMATION; STEERING BEHAVIOR; STEERING WHEEL; THEORETICAL BASIS;

EID: 75849121946     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2009.5301253     Document Type: Conference Paper
Times cited : (14)

References (11)
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    • Estimation of driver's drowsiness level using interval of steering adjustment for lane keeping
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    • Using EEG spectral components to assess algorithms for detecting fatigue
    • Trad
    • Jap, Budi Thomas. , Lal, Sara,Fischer, Peter, Bekiaris, Evangelos. " Using EEG spectral components to assess algorithms for detecting fatigue".Expert Systems with Applications.Vol 36,pp:2352-2359, Trad 2009.
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    • Jap, B.T.1    Lal, S.2    Fischer, P.3    Bekiaris, E.4
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    • Construction of orthogonal wavelets using fractal interpolation functions
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    • Geronimo, J.S.1    Hardin, D.P.2    Massopust, P.R.3
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    • Framelets: "MRA-based constructions of wavelet frames
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    • I. Daubechies, B. Han, A. Ron, and Z. Shen, Framelets: "MRA-based constructions of wavelet frames", Appl. Comput. Harmon. Anal, vol:143,pp1-46 mar.2003
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    • Daubechies, I.1    Han, B.2    Ron, A.3    Shen, Z.4
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    • Peter Schroder Building Your Own Wavelets at Home
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    • Sweldens, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.