Literature DB >> 19965174

Pulse wave sensor for non-intrusive driver's drowsiness detection.

Shan Hu1, Ryan L Bowlds, Ye Gu, Xun Yu.   

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) of subjects' heart rate time series. The LF/HF ratio shows decreasing trends as subjects go from awake to drowsy.

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Year:  2009        PMID: 19965174     DOI: 10.1109/IEMBS.2009.5335036

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Convolutional Neural Network-Based Classification of Driver's Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors.

Authors:  Kwan Woo Lee; Hyo Sik Yoon; Jong Min Song; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2018-03-23       Impact factor: 3.576

2.  A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.

Authors:  Muhammad Awais; Nasreen Badruddin; Micheal Drieberg
Journal:  Sensors (Basel)       Date:  2017-08-31       Impact factor: 3.576

  2 in total

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