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Improvement of Detection for Warning Students in E-learning Using Web Cameras
Author(s) -
Keníchi Takahashi,
Masahiro Ueno
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.157
Subject(s) - computer science , artificial intelligence , multimedia , world wide web
As e-learning systems that use computers and the Internet have become more popular around us, utilization of e-learning systems at schools for classwork has been more activated. However, there are some students that don’t concentrate on study. The objective of this research is to construct an e-learning system that stimulates students in order for them to concentrate on learning. The e-learning system captures images of students with web cameras and warns students with a message and sound once the system recognized that the student was not concentrating. This paper shows experiments for the case where various parts of a face are combined to improve the accuracy of detection. Through experiments and questionnaire, the accuracy of detection and the effect of warning are assessed

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