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

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.

[1]  W C Orr,et al.  Heart rate variability during waking and sleep in healthy males and females. , 1999, Sleep.

[2]  Ashley Craig,et al.  Development of an algorithm for an EEG-based driver fatigue countermeasure. , 2003, Journal of safety research.

[3]  Tzyy-Ping Jung,et al.  EEG-based drowsiness estimation for safety driving using independent component analysis , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Jukka Lekkala,et al.  Film-type transducer materials PVDF and EMFi in the measurement of heart and respiration rates , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Yong Gyu Lim,et al.  ECG measurement on a chair without conductive contact , 2006, IEEE Transactions on Biomedical Engineering.

[6]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[7]  Y. Lin,et al.  An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement , 2007, IEEE Sensors Journal.

[8]  Masaaki Makikawa,et al.  ECG monitoring of a car driver using capacitively-coupled electrodes , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  S. Honma,et al.  Effects of light and sleep stages on heart rate variability in humans , 2001, Psychiatry and clinical neurosciences.

[10]  Shan Hu,et al.  Non-Intrusive ECG Measurement on Vehicle Steering Wheel and Driver Seat , 2008 .

[11]  Zhiwei Zhu,et al.  Real-time nonintrusive monitoring and prediction of driver fatigue , 2004, IEEE Transactions on Vehicular Technology.

[12]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[13]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[14]  H. Tunstall-Pedoe.  Sex differences in short-term survival after initial myocardial infarction. , 1998, European heart journal.

[15]  R J Fairbanks,et al.  RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT , 1994 .