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Micro-controlled EOG Device for Track and Control Military Applications

  • Nayana L. M. Viana
  • José Ailton L. Barbosa Junior
  • Francisco A. Brito-FilhoEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 152)

Abstract

This paper presents a system with tracking and remote control capabilities for military applications. An electrooculogram and a micro-controlled system with wireless communication were developed as controller based on the eye movement. The system can be used as remote control for military purposes and also for soldier monitoring. A proof of concept to act and be tested as mouse pointer was implemented with reduced circuitry and PIC microcontroller in order to achieve low cost and low profile platform. Experimental results are shown to validate a prototype of the proposed system.

Keywords

Electrooculogram Tracking Remote control 

References

  1. 1.
    Bronzino, J.D.: The Biomedical Engineering Handboook, 2nd edn. CRC Press, Boca Raton (2000)Google Scholar
  2. 2.
    Malmivuo, J., Plonsey, R.: Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields. Oxford University Press, USA (1995)CrossRefGoogle Scholar
  3. 3.
    Yazicioglu, R.F., Hoof, C.V., Puers, R.: Biopotential Readout Circuits for Portable Acquisition Systems. Springer Science & Business Media (2009)Google Scholar
  4. 4.
    Tseng, Y., Ho, Y., Kao, S., Su, C.: A 0.09 μW low power front-end biopotential amplifier for biosignal recording. In: IEEE Transactions on Biomedical Circuits and Systems, pp. 508–516. IEEE (2012)Google Scholar
  5. 5.
    Ha, S., Kim, C., Chi, Y.M., Akinin, A., Maier, C., Ueno, A., Cauwenberghs, G.: Integrated circuits and electrode interfaces for noninvasive physiological monitoring. In: IEEE Transactions on Biomedical Engineering, pp. 1522–1537. IEEE (2014)Google Scholar
  6. 6.
    Patil, N., Iyer, B.: Health monitoring and tracking system for soldiers using internet of things (IoT). In: International Conference on Computing, Communication and Automation (ICCCA2017), pp. 1347–1352, IEEE, Greater Noida, India (2017)Google Scholar
  7. 7.
    Bisio, I., Delfino, A., Lavagetto, F., Sciarrone, A.: Enabling IoT for in-home rehabilitation: accelerometer signals classification methods for activity and movement recognition. IEEE Internet Things J., 1–11. IEEE (2016)Google Scholar
  8. 8.
    Rossi, M., Rizzi, A., Lorenzelli, L., Brunell, D.: Remote rehabilitation monitoring with an IoT-enabled embedded system for precise progress tracking. In: IEEE International Conference on Electronics, Circuits and Systems (ICECS), pp. 384–387. IEEE, Monte Carlo, Monaco (2016)Google Scholar
  9. 9.
    Jiang, M., Gia, T.N., Anzanpour, A., Rahmani, A.-M., Westerlund, T., Salantera, S., Liljeberg, P., Tenhunen, H.: IoT-based remote facial expression monitoring system with sEMG signal. In: IEEE Sensors Applications Symposium (SAS). IEEE, Catania, Italy (2016)Google Scholar
  10. 10.
    Reyes, C.R.P., Vaca, H.P., Calderón, M.P., Montoya, L., Aguilar, W.G.: MilNova: an approach to the IoT solution based on model-driven engineering for the military health monitoring. In: CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). IEEE, Pucon, Chile (2017)Google Scholar
  11. 11.
    Tavakoli, M., Turicchia, L., Sarpeshkar, R.: An ultra-low-power pulse oximeter implemented with an energy-efficient transimpedance amplifier. IEEE Trans. Biomed. Circuit. Syst. IEEE (2009)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Nayana L. M. Viana
    • 1
    • 2
  • José Ailton L. Barbosa Junior
    • 1
    • 3
  • Francisco A. Brito-Filho
    • 1
    Email author
  1. 1.Federal University of Semiarid Region—UFERSACaraubasBrazil
  2. 2.Federal University of Rio Grande do Norte—UFRNNatalBrazil
  3. 3.Federal University of Ceara—UFCFortalezaBrazil

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