2023
DOI: 10.1109/jsen.2023.3247582
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Fatigue Detection Algorithm Based on Eye Multifeature Fusion

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Cited by 6 publications
(2 citation statements)
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“…It has been demonstrated that blinking frequency can serve as an indicator of fatigue, therefore the noncontact blinking detection system has the potential to be applied in fatigue driving warnings. 55,56 Additionally, the voltage signals were found to remain stable for a while under a short period of eye closure (Figure S14). Therefore, the sensing system may provide a feasible way to monitor unconscious blinking, which is closely related to the psychological and physiological state of the human body.…”
Section: Resultsmentioning
confidence: 99%
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“…It has been demonstrated that blinking frequency can serve as an indicator of fatigue, therefore the noncontact blinking detection system has the potential to be applied in fatigue driving warnings. 55,56 Additionally, the voltage signals were found to remain stable for a while under a short period of eye closure (Figure S14). Therefore, the sensing system may provide a feasible way to monitor unconscious blinking, which is closely related to the psychological and physiological state of the human body.…”
Section: Resultsmentioning
confidence: 99%
“…However, the voltages generated at high and medium blinking frequencies were higher than those at low levels, which can be explained by the different deformation degrees of the eyelashes/eyelids at different blinking frequencies and the different rebalance degrees of the charge in the sensor. It has been demonstrated that blinking frequency can serve as an indicator of fatigue, therefore the noncontact blinking detection system has the potential to be applied in fatigue driving warnings. , Additionally, the voltage signals were found to remain stable for a while under a short period of eye closure (Figure S14). Therefore, the sensing system may provide a feasible way to monitor unconscious blinking, which is closely related to the psychological and physiological state of the human body.…”
Section: Resultsmentioning
confidence: 99%