Student Authentication Method by Sequential Update of Face Information Registered in e-Learning System
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.
Keywordse-Learning Video lecture Student authentication Face image
This work was supported in part by a Grant-in-Aid for Challenging Exploratory Research (No. 15K12427) from JSPS.
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