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Volumn 4562 LNAI, Issue , 2007, Pages 787-795

Classification of blink waveforms toward the assessment of driver's arousal levels - An EOG approach and the correlation with physiological measures

Author keywords

Arousal level; Blinks; Drivers; Drowsiness; Physiological indices

Indexed keywords

COMPUTER SIMULATION; USER INTERFACES; WAVEFORM ANALYSIS;

EID: 37249036708     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73331-7_86     Document Type: Conference Paper
Times cited : (14)

References (8)
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    • Wierwille, W.W., et al.: Research on vehicle-based driver status/performance monitoring; development, validation, and refinement of algorisms for detection of driver drowsiness. U.S. Department of Transp, National Highway Traffic Safety Administration. DOT HS 808 247, Final Report (1994)
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    • Bittner, R., et al.: Fatigue indicators of drowsy drivers based on analysis of physiological signals. Ergonomics. In: Crespo, V., et al. (ed.) ISMDA 2001. LNCS, 2199, pp. 62-68. Springer, Heidelberg (2001)
    • Bittner, R., et al.: Fatigue indicators of drowsy drivers based on analysis of physiological signals. Ergonomics. In: Crespo, V., et al. (ed.) ISMDA 2001. LNCS, vol. 2199, pp. 62-68. Springer, Heidelberg (2001)
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    • Niguchi, Y., et al.: Classification of blink waveforms towards the assessment of driver's arousal level - An approach for HMM based classification from blinking video sequence -. HCII2007 (2007)
    • Niguchi, Y., et al.: Classification of blink waveforms towards the assessment of driver's arousal level - An approach for HMM based classification from blinking video sequence -. HCII2007 (2007)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.