Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Real-time Facial Disorder Detection Using Internet of Things

Author : K.Asha 1 Reshma M Gutagi 2 M.Lorate Shiny 3

Date of Publication :18th May 2017

Abstract: Today’s research emphasis are utilizing on the real-time facial disorders detection (RFDD) by using cameras at public places. These cameras analyse the infected faces and sending it over the WIFI which are becoming more common in the Internet of Things era of today. Recognizing facial disorders is subjective and presently performed by dermatologists. However, with progressive development in the IoT enabling technologies and image processing methodologies, it is now feasible to compute facial skin disorders utilizing digital photographs in real-time applications. In this paper, we put forward a new realtime method for abnormal facial regions recognition and segmentation over the IoT epitome

Reference :

    1. F. Al-Turjman, “Information-centric sensor networks for cognitive IoT: an overview”, Annals of Telecommunications, pp. 1-16, 2016.
    2. F. Al-Turjman and H. Hassanein, “Towards augmented connectivity with delay constraints in WSN federation”, Inderscience: International Journal of Ad Hoc and Ubiquitous Computing, vol. 11, no. 2, pp. 97-108, 2012.
    3. G. Singh, and F. Al-Turjman, “Learning Data Delivery Paths in QoI-Aware Information-Centric Sensor Networks”, IEEE Internet of Things Journal, vol. 3, no. 4, pp. 572 – 580, 2016.
    4. F. Al-Turjman, H. Hassanein, and M. Ibnkahla, “Towards prolonged lifetime for deployed WSNs in outdoor environment monitoring”,Elsevier Ad Hoc Networks Journal, vol. 24, no. A, pp. 172 – 185, Jan., 2015.
    5. G. Singh, and F. Al-Turjman, “A Data Delivery Framework forCognitive Information-Centric Sensor Networks in Smart OutdoorMonitoring”, Elsevier Computer Communications Journal, vol. 74, no. 1, pp. 38- 51, 2016.
    6. Rob J. McCready, “Real-Time Face Detection on a ConfigurableHardware Platform” University of Toronto, 2000.
    7. Duy Nguyen, David Halupka “Real-Time Face Detection and Lip Feature Extraction Using FieldProgrammable Gate Arrays” 2006
    8. Messaoud Mostefai, Mechta Djamila, Youssef Chahir “Efficient Real Time Face Tracking Operator Study and Implementation with Virtex FPGA Technology” University of Bordj Bou Arreridj, Algeria. 2007
    9. Junguk Cho, Shahnam Mirzaei, Jason Oberg, Ryan Kastner “FPGA-Based Face Detection System Using Haar Classifiers” University of California, San Diego United States.
    10. Marzec, M., Koprowski, R., Wróbel, Z., Kleszcz, A., WilczyÅ„ski, S. “Automatic method for detection of characteristic areas in thermal face images”. Multimedia Tools Appl. DOI 10.1007/s11042-013-1745-9. 2013.
    11. Chan, L.S., Cheung, G. T. Y., Lauder, I.J., Kumana, C.R. “Screening of fever by remote sensing infrared thermographic camera”, J. Travel Med, vol. 11, 2004, pp. 273-279.
    12. M. Z. Hasan, F. Al-Turjman, H. Al-Rizzo “Evaluation of a Duty-cycled Protocol for TDMA-Based Wireless Sensor Networks”, In Proc. of the International Wireless Communications and Mobile Computing Conference, Paphos, Cyprus, pp. 964-969, 2016.
    13. http://www.healthline.com/health/skin-disorders (April, 2015)
    14. http://www.dermnetnz.org/site-agespecific/face.html (April, 2015)
    15. S. Osher, R. Fedkiw, “Level Set Methods and Dynamic Implicit Surfaces”, Springer-Verlag, New York, 2002.
    16. Kimmel R. “Numerical Geometry of Images: Theory, Algorithms and Applications”. ISBN: 0-387-95562-3, Springer-Verlag, New York, Inc., 17-45, 2003.
    17. Anderberg M.R. “Cluster Analysis for Applications”, New York, NY, USA: Academic Press, 1973.
    18. F. Al-Turjman, H. Hassanein, and M. Ibnkahla, “Efficient deployment of wireless sensor networks targeting environment monitoring applications”, Elsevier: Computer Communications Journal, vol. 36, no. 2, pp. 135–148, Jan. 2013.
    19. F. Al-Turjman, “Impact of User's Habits on Smartphones’ Sensors: An Overview”, HONET-ICT International IEEE Symposium, Nicosia, Cyprus, pp. 70- 74, 2016.
    20. F. Al-Turjman, “Hybrid Approach for Mobile Couriers Election in Smart-cities”, In Proc. of the IEEE Local Computer Networks (LCN), Dubai, UAE, pp. 507-510, 2016.

Recent Article