NL repository
menu
검색
Library
Browse
Communities & Collections
By Date
Authors
Titles
Subject
My Repository
My Account
Receive email updates
Edit Profile
DSpace at EWHA
공과대학
전자전기공학전공
Journal papers
View : 784 Download: 0
A pupil data based classification model for education learning states
Title
A pupil data based classification model for education learning states
Authors
Lee J.
;
Hong E.
;
Park H.
Ewha Authors
박형곤
SCOPUS Author ID
박형곤
Issue Date
2017
Journal Title
International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
Citation
International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017 vol. 2017-December, pp. 141 - 143
Keywords
classification model
;
k-fold cross validation
;
machine learning
;
pupil
;
Support Vector Machine
Publisher
Institute of Electrical and Electronics Engineers Inc.
Indexed
SCOPUS
Document Type
Conference Paper
Abstract
In this paper, we propose a classification model for learning state based on individual biometric data. In particular, we use the pupil size as a biometric data and the data has been collected from 72 participants. We also deploy the support vector machine (SVM) in conjunction with k-fold validation as an analysis tool. In order to improve the performance of the SVM, the we remove outliers from the data set and normalize it. Our experiment results show that the accuracy of the proposed classification model is up to 68.8% and thus confirm the effectiveness of the proposed classification model using the pupil data. © 2017 IEEE.
DOI
10.1109/ICTC.2017.8190960
ISBN
9781509040315
Appears in Collections:
공과대학
>
전자전기공학전공
>
Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML
Show full item record
Find@EWHA
트윗하기
BROWSE
Communities & Collections
By Date
Authors
Titles
Subject