Publication Type : Conference Paper
Thematic Areas : Amrita e-Learning Research Lab
Publisher : Emerging Research in Computing, Information, Communication and Applications, Springer Singapore, Singapore.
Source : Emerging Research in Computing, Information, Communication and Applications, Springer Singapore, Singapore (2018)
Url : https://link.springer.com/chapter/10.1007/978-981-10-4741-1_16
ISBN : 9789811047411
Campus : Amritapuri
School : Department of Learning
Center : E-Learning
Department : E-Learning
Year : 2018
Abstract : Modern education is now concentrated on E-learning, possible of learners being in virtual classroom and geographically distributed. Interactivity is the important part of design of such learning management systems. Better designs will reduce the isolation feeling among the tutors and students because they are at different areas in E-learningE-Learning. Hand raise is a typical interaction that can happen in a real classroom. So this paper aims to design an automatic system that can detect the hand raise in E-learning classroom and these will keep the synchronization of classroom much better. The proposed method detects the hand raise by analyzing the edge structures of hand. The system will first find out the region of interest of each student in the classroom and find the edges from the skin-colored region of ROIROIof each student. Finally by doing some morphological operations find out the hand-raised regions. Without using any classification or object detection complex methods the proposed method detects the hand raise in lesser time with 91% accuracy.
Cite this Research Publication : J. Jesna, Narayanan, A. S., and Kamal Bijlani, “Automatic Hand Raise Detection by Analyzing the Edge Structures”, in Emerging Research in Computing, Information, Communication and Applications, Singapore, 2018.