International Journal of Vehicle Structures and Systems

Open Access Open Access  Restricted Access Subscription Access

Health Monitoring System for Automobile Vehicles to Enhance Safety


Affiliations
1 Dept. of Auto. Engg., Crescent Institute of Sci. and Tech., Chennai, India
2 Dept. of Auto. Engg., Hindustan Institute of Tech. and Sci., Chennai, India
 

   Subscribe/Renew Journal


In recent times most of the automotive vehicle accidents are increased day by day in India. Recent causes of the accident shows that more than 20% of accidents are caused due to health issues which occur to drivers while driving the vehicle. In the proposed project we had been monitoring the status of health condition of the driver by using sensors such as pulse rate sensor and temperature sensor. The heart beat rate falls below the lower limit and above the higher limit to the driver. The driver can be prevented from driving the vehicle when he is in extreme emotion such as heart attack, arrhythmias, heart stiffening or weakening, cardiomyopathy, stress, anxiety, depression etc. The speed of the vehicle is measured by speed sensor in the vehicle. The ultrasonic sensor which is used to sense the object placed in the front of the vehicle. The result is to create a system capable of contributing to the reduction of collisions. The driver who suddenly suffers from health issue especially heart attack while driving the vehicle cannot handle the vehicle because during heartache the movement of hands is difficult to control the vehicle which leads to accidents. The heart rate sensor placed in seatbelt of the driver and heat sensor in the driver seat. The sensors collect the data and send it to the control unit which interprets the data with the standard value and if some values are unusual may be in heart rate, blood pressure. The control unit sends out a warning signal to the driver and if the driver doesn’t show any reaction within the set time the braking system is actuated.

Keywords

Heart Rate, Pulse Sensor, Arduino Board, Ultrasonic Sensor, Braking System.
User
Subscription Login to verify subscription
Notifications
Font Size

  • M.M.A. Hashem, R. Shams, M.A. Kader and M.A. Sayed. 2016. Design and Development of a Heart Rate Measuring Device using Fingertip, Cornel University Library.

  • R. Priyanga, D. Rajesh Kumar and E.J. Yamini. 2014. Sensor based accident detection and prevention technology, Int. J. Adv. Tech. Engg. & Sci., 2(11), 156-161.

  • Government of India Ministry of Road Transport & Highways Transport Research Wing, New Delhi-2015.

  • P.L. Martin, T. Audeta, H. Corriveaua, M. Hamela, M.D. Amoursa and C. Smeestersa. 2010. Comparison between younger and older drivers of the effect of obstacle direction on the minimum obstacle distance to brake and avoid a motor vehicle accident, Accident Analysis & Prevention, 42(4), 1144-1150.

  • R.G. Landaeta, O. Casas, and R.P. Areny. 2009. Heart rate detection from plantar bio-impedance measurements, Proc. 28th IEEE EMBS Annual Int. Conf., USA.

  • P.F. Binkley. 2003. Predicting the potential of wearable technology, IEEE Engg. Med. Biol. Mag., 22, 23-27. https://doi.org/10.1109/MEMB.2003.1213623.

  • H. Shim, J.H. Lee, S.O. Hwang, H.R. Yoon and Y.R. Yoon. 2008. Development of heart rate monitoring for mobile telemedicine using smart phone, Proc. 13th Int. Conf. Biomedical Engg., Singapore.

  • C.C. Tai and J.R.C. Chien. 2005. An improved peak quantification algorithm for automatic heart rate measurements, Proc. IEEE 27th Annual Conf. Engg. in Med. and Bio., China.

  • R. Prince, S. Sharanappa, K. Veeresh, C. Shivaprakash and R. Geetha. 2015. Intelligent vehicle with multitask management, Int. J. Scientific Research & Development, 3(3), 2902-2904.

  • T. Usui, A. Matsubara and S. Tanaka. 2004. Unconstrained and non-invasive measurement of heartbeat and respiration using an acoustic sensor enclosed in an air pillow, Proc. SICE 2004 Annual Conf., 3, 2648-2651.

  • S. Rhee, B.H. Yang and H.H. Asada. 1999. Modelling of finger photo-plethysmography for wearable sensors, Proc. 21st Annual Conf. and Annual Fall Meeting of BMES/EMBS, Atlanta, GA, USA.

  • V. Deepan, M. Subramanian and C. Dineshkumar. 2018. Motorcycle rider fatigue analyze: Results of an online survey, Int. J. Mech. and Production, Engg., Research and Development, 8(2), 509-516.

  • R.R. Singh, S. Conjeti and R. Banerjee. 2013. A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals, Biomedical Signal Processing and Control, 8(6), 740-754. https://doi.org/10.1016/j.bspc.2013.06.014.

  • H.A. Herman and P.S. Els. 2014. Improving the braking performance of a vehicle with ABS and a semi-active suspension system on a rough road, UP Space Institutional Repository. https://repository.up.ac.za/handle/2263/43601.

  • Highlights of 2009 Motor Vehicle crashes. 2011. Traffic Safety Facts, Research Notes, (National Highway Traffic Safety Administration).

  • N. Virtanen, A. Schirokoff and J. Luom. 2005. Impacts of an automatic emergency call system on accident consequences, Proc. 18th ICTCT Workshop on Transport Telematics and Safety, Helsinki.

  • S.M. Tang and H.J. Gao. 2005. Traffic-incident detection-algorithm based on nonparametric regression, IEEE Trans. Intelligent Transportation Systems, 6(1), 38-42. https://doi.org/10.1109/TITS.2004.843112

  • L. Chuan-Zhi, H. Ru-Fu and Y.E. Hong-Wu. 2008. Method of freeway incident detection using wireless positioning, Proc. IEEE Int. Conf. Automation and Logistics, 2801-2804. https://doi.org/10.1109/ICAL.2008.4636651.

  • C. Dineshkumar and M. Subramanian. 2017. Automotive braking system for passenger vehicle to enhance safety, Int. J. Pure and Applied Mathematics, 117(20), 1011-1020.


Abstract Views: 387

PDF Views: 203




  • Health Monitoring System for Automobile Vehicles to Enhance Safety

Abstract Views: 387  |  PDF Views: 203

Authors

C. Dineshkumar
Dept. of Auto. Engg., Crescent Institute of Sci. and Tech., Chennai, India
M. Subramanian
Dept. of Auto. Engg., Crescent Institute of Sci. and Tech., Chennai, India
Jenorish Muthaya
Dept. of Auto. Engg., Hindustan Institute of Tech. and Sci., Chennai, India
V. Deepan
Dept. of Auto. Engg., Hindustan Institute of Tech. and Sci., Chennai, India

Abstract


In recent times most of the automotive vehicle accidents are increased day by day in India. Recent causes of the accident shows that more than 20% of accidents are caused due to health issues which occur to drivers while driving the vehicle. In the proposed project we had been monitoring the status of health condition of the driver by using sensors such as pulse rate sensor and temperature sensor. The heart beat rate falls below the lower limit and above the higher limit to the driver. The driver can be prevented from driving the vehicle when he is in extreme emotion such as heart attack, arrhythmias, heart stiffening or weakening, cardiomyopathy, stress, anxiety, depression etc. The speed of the vehicle is measured by speed sensor in the vehicle. The ultrasonic sensor which is used to sense the object placed in the front of the vehicle. The result is to create a system capable of contributing to the reduction of collisions. The driver who suddenly suffers from health issue especially heart attack while driving the vehicle cannot handle the vehicle because during heartache the movement of hands is difficult to control the vehicle which leads to accidents. The heart rate sensor placed in seatbelt of the driver and heat sensor in the driver seat. The sensors collect the data and send it to the control unit which interprets the data with the standard value and if some values are unusual may be in heart rate, blood pressure. The control unit sends out a warning signal to the driver and if the driver doesn’t show any reaction within the set time the braking system is actuated.

Keywords


Heart Rate, Pulse Sensor, Arduino Board, Ultrasonic Sensor, Braking System.

References





DOI: https://doi.org/10.4273/ijvss.10.6.03