Real-Time Monitoring of Driver’s Biometrics to Prevent Multi-Vehicle Chain Collisions Caused by Impending Medical Emergencies

  • Authors

    • K V.N. Kavitha
    • Kanishak Kesarwani
    • S M. Pranav
    • Tanish Noah
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.6.14937
  • Sphygmomanometer, Internet of Things (IoT), Motor Driver, Global Positioning System (GPS), Global System of Mobile Communication (GSM).
  • Smart healthcare systems are essentially going to become an inevitable part of our day to day activities. Sophisticated health monitoring devices will be used to provide a safer and less accident-prone society. Their use in active accident mitigation and management will extend, in the coming years, to not only our home atmosphere but will also include manufacturing, transportation, work-place and agricultural milieu. As a matter of fact, real time healthcare monitors have been introduced in some high-end, expensive luxury cars such as Mercedes-Benz and Tesla. The design proposed is a low-cost and affordable, continuous healthcare monitoring system which aims to extend the use Internet of Things (IoT) to vehicular systems. It is designed to detect anomalies in the driver’s health conditions and take preventive actions to prevent road accidents. These actions include steadily reducing the vehicle’s speed and ultimately stopping it. Simultaneously, an alarm or warning is relayed to the nearby vehicles of the impending emergency that has occurred, thus cautioning them of a possible accident. An emergency message is spontaneously relayed to the concerned medical personnel and to the emergency contacts–relatives of the driver.

     

  • References

    1. [1] Gobhinath S, Aparna V & Azhagunacchiya R, “An automatic driver drowsiness alert system by using GSMâ€, 11th International Conference on Intelligent Systems and Control (ISCO), (2017), pp. 125-128.

      [2] Arulananth TS & Shilpa B, “Fingertip based heart beat monitoring system using embedded systemsâ€, International conference of Electronics, Communication and Aerospace Technology (ICECA), (2017), pp.227-230.

      [3] Chetan M & Moldovan C, “New trends in BP home monitoringâ€, 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), (2017), pp.301-304.

      [4] Pothirasan N & Rajasekaran MP, “Automatic vehicle to vehicle communication and vehicle to infrastructure communication using NRF24L01 moduleâ€, International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), (2016), pp.400-405.

      [5] Choudhari SD & Giripunje VG, “Remote Healthcare Monitoring System for Drivers Community Based On IOTâ€, International Journal of Emerging Technologies in Engineering Research (IJETER), Vol.4, No.7, (2016).

      [6] Al Rasyid MUH, Lee BH & Sudarsono A, “Wireless body area network for monitoring body temperature, heart beat and oxygen in bloodâ€, International Seminar on Intelligent Technology and Its Applications (ISITIA), (2015), pp.95-98.

      [7] Wang Y, Hu J, Zhang Y & Xu C, “Reliability evaluation of IEEE 802.11 p-based vehicle-to-vehicle communication in an urban expresswayâ€, Tsinghua Science and Technology, (2015), pp.417-428.

      [8] Al Abdulsalam N, Al Hajri R, Al Abri Z, Al Lawati Z & Bait-Suwailam MM, “Design and implementation of a vehicle to vehicle communication system using Li-Fi technologyâ€, International Conference on Information and Communication Technology Research (ICTRC), (2015), pp.136-139.

      [9] Segata M, Bloessl B, Joerer S, Sommer C, Gerla M, Cigno RL & Dressler F, “Towards inter-vehicle communication strategies for platooning supportâ€, 7th International Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall), (2014), pp.1-6.

      [10] Gomathi C, Gandhimathi D & Dhivya KDR, “A Review on Vehicle-To-Vehicle Communication Protocols For Traffic Safety Using Co-Operative Collision Warningâ€, International Journal, (2014).

      [11] Islam MM, Rafi FHM, Ahmad M, Mitul AF, Mansur TT & Rashid MA, “Microcontroller based health care monitoring system using sensor networkâ€, 7th International Conference on Electrical & Computer Engineering (ICECE), (2012), pp.272-275.

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  • How to Cite

    V.N. Kavitha, K., Kesarwani, K., M. Pranav, S., & Noah, T. (2018). Real-Time Monitoring of Driver’s Biometrics to Prevent Multi-Vehicle Chain Collisions Caused by Impending Medical Emergencies. International Journal of Engineering & Technology, 7(3.6), 51-54. https://doi.org/10.14419/ijet.v7i3.6.14937