Detecting Drowsy Driver Using Pulse Sensor
DOI:
https://doi.org/10.11113/jt.v73.4238Keywords:
Pulse sensor, driver rate, accidents, drowsyAbstract
The driver’s condition, which involves staying focus on the road, is the most important aspect to consider whenever one is driving. To ignore the importance of this could result in severe physical injuries, deaths and economic losses. Again, previous researches were focused mainly on the physical conditions of the driver; eg movement of head and drowsiness. However, this research is focused on the driver’s heart rate by using an infrared heart-rate sensor or pulse sensor. These sensors are non-intrusively measured heart pulse wave from the driver’s heart. By doing experiment, the results show clear pulse wave signal can be obtained by looking at the low to high frequency (LF/HF ratio) which calculate HRV frequency domain of the driver’s heart rate time series. The LF/HF ratio shows decreasing trends as the drivers go from the state of being awake and alert to the state of drowsiness. Therefore, accidents can be avoided if there is an alert system to keep the drivers alert and focused on the road.
References
Yu, X. 2009. Real-time Nonintrusive Detection of Driver Drowsiness. Department of Mechanical and Industrial Engineering, University of Minnesota Duluth, 1305 Ordean Court Duluth, Minnesota 55812. 27.
Sahayadhas, A., K. Sundaraj, and M. Murugappan. 2012. Detecting Driver Drowsiness based on Sensor: A Review. Sensors (Basel). 13.
Hu, S., et al. 2009. Pulse Wave Sensor for Non-intrusive Driver's Drowsiness Detection. In Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE.
Ksrlen, W. 2009. Adaptive Wake and Sleep Detection for Wearable Systems. In À La Faculté Des Sciences Et Techniques De L'ingénieur, Laboratoire De Systèmes Intelligents, Programme Doctoral En Informatique, Communications Et Information, École Polytechnique Fédérale De Lausanne. 185.
Dugdale, D. C. and D. Zieve. 2012. Electrocardiogram. MedlinePlus Medical Encyclopedia. 3.
2012. Introducing Easy Pulse: A DIY Photoplethysmographic Sensor for Measuring Heart Rate. Embedded Lab. 13.
Murohy, J. 2011. Anatomy of the DIY Heart Rate Monitor. 3.
Wong, A., et al. 2005. A Near-infrared Heart Rate Measurement IC with Very Low Cut off Frequency Using Current Steering Technique. Circuits and Systems I: Regular Papers. IEEE Transactions on. 52(12): 2642–2647.
Dr. Xiong (Bill) Yu, P. E. 2012. Non-Contact Driver Drowsiness Detection System. Case Western Reserve University Cleveland, OH. 34.
Chia-Ching, C. et al. 2011. Advanced ECG Processor with HRV Analysis for Real-time Portable Health Monitoring. In Consumer Electronics-Berlin (ICCE-Berlin), 2011 IEEE International Conference on.
Vicente, J., et al. 2011. Detection of Driver's Drowsiness by Means of HRV Analysis. In Computing in Cardiology, 2011.
Aysin, B. and E. Aysin. 2006. Effect of Respiration in Heart Rate Variability (HRV) Analysis. In Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE.
Ueno, H., M. Kaneda, and M. Tsukino. 1994. Development of drowsiness detection system. In Vehicle Navigation and Information Systems Conference, 1994. Proceedings., 1994.
Lopez-Silva, S. M., et al. 2004. Transmittance Photoplethysmography and Pulse Oximetry with Near Infrared Laser Diodes. In Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE.
Rouse, M. 2005. Flash Memory, techtarget http://searchstorage.techtarget.com/definition/flash-memory.
http://arduino.cc/en/Main/arduinoBoardUno, Arduino Uno, arduino.cc.
Miah, M. A. R., et al. 2013. Low Cost Computer Based Heart Rate Monitoring System Using Fingertip and Microphone Port. In Informatics, Electronics & Vision (ICIEV), 2013 International Conference on.
Morsi, I. and Y.Z. Abd El Gawad. 2013. Fuzzy Logic in Heart Rate and Blood Pressure Measuring System. In Sensors Applications Symposium (SAS), 2013 IEEE.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
