Health care monitoring and accident tracking system based on location awareness

  • Authors

    • U Sai Nishita
    • K Anusha
    • K Ramya SriSai
    • Dr Mohammed Ali Hussain
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10589
  • Arduino UNO Board, Heart Beat Sensor, Temperature Sensor and GPS

  • The main focus of this paper is to design a prototype model such that it embeds different body sensors to measure parameters like body temperature, heart beat rate etc., We used an Arduino UNO board, body sensors like Heartbeat sensor and Temperature sensor to analyze the inputs from the patient’s body and if there are any abnormalities regarding the pulse rate and temperature of the patient the monitoring system would give an alarm and display it on LCD. These processed values are recorded online and stored in the cloud database like Thingspeak and can be accessed through any android mobile or computer systems from any corner of the globe. This system is more useful in transport departments, especially in Buses as a very efficient and dedicated driver healthcare monitoring system. By using this model we can help all drivers who are dedicated to their work and need to be monitored due to their abnormal health conditions. Thus helping them in avoiding fatal accidents and saving the valuable lives of passengers riding along with them in the bus.

  • References

    1. [1] N. Al-Saber, O. B. Khader, and M. Al-Taee,“ Remote monitoring of vehicle diagnostics and location using a smart box with Global Positioning System and General Packet RadioService,†in Proc. IEEE/ACS AICCSA, Amman, 2007, pp. 385– 388.

      [2] T. S. Vardhan T. Kishore, , and L. Narayana, “Vehicle Tracking Using a Reliable Embedded Data Acquisition System With GPS and GSMâ€, Int. Journal of Computer Science andNetwork Security, vol.10, no. 2, pp. 286-291, 2010.

      [3] J. Xiao, and Haidong Feng, “ A Low-Cost Extendable Framework For Embedded Smart Car Security Systemâ€, inProc. Int. Conf. on Networking, Sensing and Control, Okayama,2009, pp. 829- 833.

      [4] V. Kulkarni, and L. N. K. Rao, “Embedded Car Security System on Face Detectionâ€. in Proc. 2nd National Conferenceon Information and Communication Technology, NewYork,2011, no. 40.

      [5] J. Lin, S. C. Chen, Y. T. Shin, and S. H. Chen, “A Study onRemote On-Line Diagnostic System for Vehicles by Integrating,the Technology of OBD, GPS, and 3G,†World Academy of Science,Engineering and Technology, vol. 56, pp. 435–441,Aug. 2009.

      [6] S. Movassaghi, M. Abolhasan, J. Lipman, D. Smith, and A. Jamalipour, “Wireless body area networks: A survey,†IEEECommunications Surveys & Tutorials, vol. 16, no. 3, pp. 1658– 1686, 2014.

      [7] M. Salayma, A. Al-Dubai, I. Romdhani and Y. Nasser, "Wireless Body Area Network (WBAN): A survey on reliability, fault tolerance, and technologies coexistence," ACM Computing Surveys, accepted to appear in vol. 50, no 1, March 2018.

      [8] J. Bachiochi, "Light-to-frequency Conversion (Part2) TSL230R-Based Pulse Oximetr", Circuit Cellar the Magazine for Computer Applications, pp. 68-71, Jan. 2005. [9]. E. N. Castellar, K. Oksanen, J. V. Looya, "Assessing Experience: Heart Rate Variability In-work Behavior and Self-report Measures", Quality of Multimedia Experience (QoMEX) 2014Sixth International Workshop on, Sept. 18–20, 2014.

      [9] Li Yong. "The Research of Monitoring System for Body Temperature of Medical Use", Modern Electrical Technology, Nov. 2006.

      [10]Dirk Odenthal , Tilman Bunte , Jurgen Ackermann, â€Nonlinear Steering and Braking control for vehicle rollover avoidanceâ€, Proceedings of European ControlConference,1999.

      [11] D. Alvares, L. Wieczorek, B. Raguse, F. Ladouceur, N. H. Lovell, "Development of nanoparticle film-based multiaxial Tactile sensors for biomedical applications", Sens. Actuators APhys., vol. 196, no. 1, pp. 38-47, 2013.

      [12] . Figueroa, W. Solano, C. Thurman, J. Schmalzel, "A future vision of data acquisition: Distributed sensing processing and health monitoring", Proc. IMTC 2001, 20-23 May 2001.

      [13] IsnandarAndang, "Study the use of accuracy image quickbird in google earth to land parcels mapping", BandungInstitute of Technology, 2008.

      [14] Hoang, D.B, "Wireless technologies and architectures for health monitoring systems", Digital Society, 2007. ICDS '07, First International Conference on the 2-6 Jan. 2007.

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  • How to Cite

    Sai Nishita, U., Anusha, K., Ramya SriSai, K., & Mohammed Ali Hussain, D. (2018). Health care monitoring and accident tracking system based on location awareness. International Journal of Engineering & Technology, 7(2.7), 246-248. https://doi.org/10.14419/ijet.v7i2.7.10589