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
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;
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
DOI :
10.1109/ICECCT.2015.7226015