About this paper

Appears in:
Pages: 7497-7503
Publication year: 2019
ISBN: 978-84-09-08619-1
ISSN: 2340-1079
doi: 10.21125/inted.2019.1828

Conference name: 13th International Technology, Education and Development Conference
Dates: 11-13 March, 2019
Location: Valencia, Spain

RELEVANCE ANALYSIS OF CONTENTS TYPE AND FACE AUTHENTICATION FOR PREVENTING PLAGIARISM OF E-CONTENT

T. Kawamata, T. Akakura

Tokyo University of Science (JAPAN)
Many universities have introduced e-Learning systems to allow learners to take lecture courses remotely, which has led to thousands of lectures now being available online.On an e-Learning system, spoofing may occur if the teacher is unable to see the learners during lectures, which in turn creates certain problems. The lectures and associated materials are intellectual property that must be protected by preventing spoofing. Thus, it is necessary to authenticate learner identity during an e-Learning session.

For preventing plagiarism of e-content and protecting intellectual property rights, we discuss a methodology of biometrics authentication using facial images. We implemented facial authentication to three types of e-Learning: text reading, video watching and exam type. The study shows the difference of learning behavior in each type such as text position on a display, occluding face during the exam and more. We analyzed the facial images on each behavior, and examined the method of control these behaviors to introduce the facial authentication.
@InProceedings{KAWAMATA2019REL,
author = {Kawamata, T. and Akakura, T.},
title = {RELEVANCE ANALYSIS OF CONTENTS TYPE AND FACE AUTHENTICATION FOR PREVENTING PLAGIARISM OF E-CONTENT},
series = {13th International Technology, Education and Development Conference},
booktitle = {INTED2019 Proceedings},
isbn = {978-84-09-08619-1},
issn = {2340-1079},
doi = {10.21125/inted.2019.1828},
url = {http://dx.doi.org/10.21125/inted.2019.1828},
publisher = {IATED},
location = {Valencia, Spain},
month = {11-13 March, 2019},
year = {2019},
pages = {7497-7503}}
TY - CONF
AU - T. Kawamata AU - T. Akakura
TI - RELEVANCE ANALYSIS OF CONTENTS TYPE AND FACE AUTHENTICATION FOR PREVENTING PLAGIARISM OF E-CONTENT
SN - 978-84-09-08619-1/2340-1079
DO - 10.21125/inted.2019.1828
PY - 2019
Y1 - 11-13 March, 2019
CI - Valencia, Spain
JO - 13th International Technology, Education and Development Conference
JA - INTED2019 Proceedings
SP - 7497
EP - 7503
ER -
T. Kawamata, T. Akakura (2019) RELEVANCE ANALYSIS OF CONTENTS TYPE AND FACE AUTHENTICATION FOR PREVENTING PLAGIARISM OF E-CONTENT, INTED2019 Proceedings, pp. 7497-7503.
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