2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009
DOI: 10.1109/iembs.2009.5335036
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Pulse wave sensor for non-intrusive driver's drowsiness detection

Abstract: This research proposes a PVDF film pulse wave sensor for use in driver's drowsiness detection. The sensor non-intrusively measures heart pulse wave from driver's palm and an adaptive filter is employed to cancel the measurement noise aroused by the changing of gripping force. Experimental results show clear pulse wave signals can be obtained. Two-hour driving simulation is performed for drowsiness detection tests. The low frequency to high frequency (LF/HF ratio) is calculated from power spectrum density (PSD)… Show more

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Cited by 12 publications
(1 citation statement)
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“…Existing works on driver vital sign monitoring include the sensor-based methods [153]- [158], vision-based methods [262]- [265] and radio frequency (RF)-based methods [266]- [278]. The sensor-based methods require wearable sensors such as photoplethysmography (PPG) [156], ECG [154], [155], EEG [153], [279], voltage-controlled oscillators [157], and electromagnetic coupled sensor [158] to capture physiological signals for vital sign analysis. They are accurate due to the direct contact with a human body but tend to be cumbersome, uncomfortable, and distracting for a driver when driving, thus hindering practical applications.…”
Section: B Driver Vital Sign Monitoringmentioning
confidence: 99%
“…Existing works on driver vital sign monitoring include the sensor-based methods [153]- [158], vision-based methods [262]- [265] and radio frequency (RF)-based methods [266]- [278]. The sensor-based methods require wearable sensors such as photoplethysmography (PPG) [156], ECG [154], [155], EEG [153], [279], voltage-controlled oscillators [157], and electromagnetic coupled sensor [158] to capture physiological signals for vital sign analysis. They are accurate due to the direct contact with a human body but tend to be cumbersome, uncomfortable, and distracting for a driver when driving, thus hindering practical applications.…”
Section: B Driver Vital Sign Monitoringmentioning
confidence: 99%