On a sensor to detect the point just before the dozing off state is reached

Funada, Mariko; Yazu, Yusuke; Ide, H.; Idogawa, Kyoko; Yano, Fumihiko; Daimon, Nobuo; Ninomija, Satoki P.

doi:10.1016/0924-4247(93)00683-u

Cited by 9 publications

(1 citation statement)

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“…ldogawa (1991) suggests that fatigue-related accidents can be predicted by observing an increase in the generation of grouped alpha waves and informing the driver automatically with an electrical or sound stimulus. These group of researchers have proposed a sensor that can detect appearance of grouped alpha waves in the EEG just before the dozing state is reached and have assessed it in test drive situations (Funada et al, 1994). They found that the software for the sensor had good reliability and stability to detect the "inclined sleep" stage.…”

Section: The Eeg As An Indicator Of Fatigue In the Occupational Setti...mentioning

confidence: 99%

Electroencephalography Activity Associated with Driver Fatigue: Implications for a Fatigue Countermeasure Device

Lal

Craig

2001

Journal of Psychophysiology

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This paper reviews the association between electroencephalography (EEG) activity and driver fatigue. The current literature shows substantial evidence of changes in brain wave activity, such as simultaneous changes in slow-wave activity (e.g., delta and theta activity) as well as alpha activity during driver fatigue. It is apparent from the literature review that EEG is a promising neurophysiological indicator of driver fatigue and has the potential to be incorporated into the development of a fatigue countermeasure device. The findings from this review are discussed in the light of directions for future fatigue research studies.

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Section: The Eeg As An Indicator Of Fatigue In the Occupational Setti...mentioning

confidence: 99%