Detection of Driver Drowsiness using Eye Blink Sensor

  • Authors

    • Kusuma Kumari B.M
    • Sampada Sethi
    • Ramakanth Kumar P
    • Nishant Kumar
    • Atulit Shankar
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.16167
  • eye blink sensor, LCD, Microcontroller, Drowsy Driver Detection System

  • Accidents due to driver drowsiness can be prevented using eye blink sensors. The driver is supposed to wear the eye blink sensor frame throughout the course of driving and blink has to be for a couple of seconds to detect drowsiness. Any random changes in steering movement leads to reduction in wheel speed. The threshold of the vibration sensor can be varied and accordingly action can be taken. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver falls asleep and also the LCD displays the warning messages. The wheel is slowed or stopped depending on the condition. This is accompanied by the owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and police station list near to driver’s location. This is how the driver can be alerted during drowsiness and the owner can be notified simultaneously

     

     

  • References

    1. [1] MarcoJavier Flores, JoséMaría Armingol and Arturo de la Escalera, “Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditionsâ€, Springer, EURASIP Journal on Advances in Signal Processing, 2010.

      [2] Belhassen AkroutWalid Mahdi, “A Blinking Measurement Method for Driver Drowsiness Detectionâ€, Springer, Proceedings of the 8th International Conference on Computer Recognition Systems CORES, pp 651-660, 2013.

      [3] Ji Hyun Yang, Zhi-Hong Mao, Member, IEEE, Louis Tijerina, Tom Pilutti, Joseph F. Coughlin, and Eric Feron, “Detection of Driver Fatigue Caused by Sleep Deprivationâ€, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 39, NO. 4, JULY 2009.

      [4] Antoine Picot, Sylvie Charbonnier, Alice Caplier, “On-Line Detection of Drowsiness Using Brain and Visual Informationâ€, Published in: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans ( Volume: 42, Issue: 3) Page(s): 764 – 775, May 2012.

      [5] Satori Hachisuka, Kenji Ishida, Takeshi Enya, Masayoshi Kamijo, “Facial Expression Measurement for Detecting Driver Drowsinessâ€, springer, International Conference on Engineering Psychology and Cognitive Ergonomics. EPCE 2011: Engineering Psychology and Cognitive Ergonomics pp 135-144, 2011.

      [6] Ines Teyeb, Olfa Jemai, Mourad Zaied, Chokri Ben Amar, “A Drowsy Driver Detection System Based on a New Method of Head Posture Estimationâ€, springer. International Conference on Intelligent Data Engineering and Automated Learning. IDEAL 2014: Intelligent Data Engineering and Automated Learning – IDEAL 2014 pp 362-369, 2014.

      [7] Nawal Alioua, Aouatif Amine, Mohammed Rziza, Driss Aboutajdine, “Driver’s Fatigue and Drowsiness Detection to Reduce Traffic Accidents on Roadâ€, springer. International Conference on Computer Analysis of Images and Patterns, CAIP: Computer Analysis of Images and Patterns pp 397-404, 2011.

      [8] Esra Vural, Mujdat Cetin, Aytul Ercil, Gwen Littlewort, Marian Bartlett, Javier Movellan, “Drowsy Driver Detection Through Facial Movement Analysisâ€, springer, International Workshop on Human-Computer Interaction HCI 2007: Human–Computer Interaction pp 6-18, 2007.

      [9] Lin, Chin-Teng, et al. “Drowsiness estimation for safety driving using independent component analysisâ€, Circuits and Systems I: Regular Papers, IEEE Transactions on 52.12: 2726-2738 pg-20-30, 2005.

      [10] Clarke Sr, James Russell, and Phyllis Maurer Clarke, “Sleep detection and driver alert apparatusâ€, U.S. Patent No. 5, 689, 241, pg25-70 18 Nov. 1997.

      [11] Hayami, Takchito, et al. “Detecting drowsiness while driving by measuring eye movement-a pilot studyâ€, Intelligent Transportation Systems, Proceedings. The IEEE 5th International Conference on. IEEE, 2002 pg30-35, 2002.

      [12] Hu, Shuyan, and Gangtie Zheng, “Driver drowsiness detection with eyelid related parameters by Support Vector Machineâ€, Expert Systems with Applications 36.4, pg651-658, 2009.

      [13] Ito, Takehiro, et al, “Driver blink measurement by the motion picture processing and its application to drowsiness detectionâ€, Intelligent Transportation Systems, Proceedings. The IEEE 5th International Conference on. IEEE, 2002 pg30-35, 2002.

      [14] Smith, Paul, Mubarak Shah, and Niels Da Vitoria Lobo, “Determining driver visual attention with one cameraâ€, Intelligent Transportation Systems, IEEE Transactions on 4.4: pg205-218, 2003.

      [15] Kithil, Philip W., Roger D. Jones, and M. Jone, “Development of driver alertness detection system using overhead capacitive sensor arrayâ€, SAE Technical Paper Series 982292: pg35-56, 1998.

      [16] Hong, Tianyi, Huabiao Qin, and Qianshu Sun, “An improved real time eye state identification system in driver drowsiness detectionâ€, Control and Automation, 2007. ICCA 2007. IEEE International Conference on. IEEE, pg45-60, 2007.

      [17] Ogawa, Kenji, and Mitsuo Shimotani, “A drowsiness detection systemâ€, Mitsubishi Electric Advance: pg13-16, 1997.

      [18] Yeo, Jung-hack. "Driver's drowsiness detection method of drowsy driving warning systemâ€, U.S. Patent No. 6,243,015. Pg:55-70, 5 June 2001.

      [19] Flores, Marco Javier, José María Armingol, and Adl Escalera, “Real-time drowsiness detection system for an intelligent vehicleâ€, Intelligent Vehicles Symposium, 2008 IEEE. IEEE, pg-50-60, 2008.

      [20] Wierwille, Walter W., et al, “Research on vehicle-based driver status/performance monitoring; development, validation, and refinement of algorithms for detection of driver drowsinessâ€, Final report. No. HS-808 247, pg-30-33, 1994.

      [21] Yang, Ji Hyun, et al, “Detection of driver fatigue caused by sleep deprivationâ€, Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on 39.4: pg694-705, 2009.

      [22] Bergasa, Luis M., et al, “Real-time system for monitoring driver vigilanceâ€,Intelligent Transportation Systems, IEEE Transactions on 7.1: pg.63-77, 2006.

  • Downloads

  • How to Cite

    Kumari B.M, K., Sethi, S., Kumar P, R., Kumar, N., & Shankar, A. (2018). Detection of Driver Drowsiness using Eye Blink Sensor. International Journal of Engineering & Technology, 7(3.12), 498-504. https://doi.org/10.14419/ijet.v7i3.12.16167