• DocumentCode
    1898916
  • Title

    Revolution in teaching/MOOCs by the use of real-time face detection

  • Author

    Thiyagarajan, Bharadwaj Vishanth

  • Author_Institution
    Comput. Eng. Dept., P.I.C.T (Univ. Of Pune), Pune, India
  • fYear
    2015
  • fDate
    5-7 March 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The use of computer has become essential and easy for students. Using the computer to perform teaching for the students can be a great advantage. Here the focus is made on the working of the Haar-feature computer vision algorithm and the connectivism {Massive Open Online Courses (MOOCs)}, which are then collaborated to aggrandize the student learning capabilities. The use of these methods can overcome the absence of a human tutor where computer can communicate to teach the students. The principles/Algorithms of FACE-DETECTION, FACE-TRACKING, CONNECTIVISM and FOCUS-CAPTURE are mentioned in this paper. Hence a new creative approach for MOOCs can be used to overcome the age-old study methods that were monotonous. This novel method can also increase the speed and accuracy of the learning.
  • Keywords
    Haar transforms; computer aided instruction; face recognition; feature extraction; Haar-feature computer vision algorithm; MOOC; age-old study methods; face-tracking; focus-capture; massive open online courses; real-time face detection; student learning capabilities; Algebra; Geometry; Integrated optics; Kernel; Optical imaging; Real-time systems; KLT; MOOCs; Object Detection; Real-time; Viola-Jones; face detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6084-2
  • Type

    conf

  • DOI
    10.1109/ICECCT.2015.7226015
  • Filename
    7226015