Student authentication method by sequential update of face information registered in e-learning system

Taisuke Kawamata, Susumu Fujimori, Takako Akakura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

e-Learning is easing restrictions on time and space for a learner. However, its weak point is that a user authentication employs only on log-in with credentials, which makes it easy to cause a cheating. We have studied the changes in face image in e-Learning with the aim of detecting the cheating. We proposed an authentication method with sequential updates of student’s face information using new images taken by a web-camera during the e-Learning. We examined the update timing and procedure in this study, and found that the authentication accuracy the highest by summing each face feature vector in the face image which is taken when a student operates the e-Learning system.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationApplications and Services - 18th International Conference, HCI International 2016, Proceedings
EditorsSakae Yamamoto
PublisherSpringer Verlag
Pages138-145
Number of pages8
ISBN (Print)9783319403960
DOIs
Publication statusPublished - 2016
Event18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: 17 Jul 201622 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9735
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Human-Computer Interaction, HCI International 2016
Country/TerritoryCanada
CityToronto
Period17/07/1622/07/16

Keywords

  • E-Learning
  • Face image
  • Student authentication
  • Video lecture

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