An Image Recognition Practice for Using Mobile Phone During Class

Chun Yi Lu, Yeong Ching Lin, Heiu Jou Shaw

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the past, Student Engagements were measured in the form of statistical scales. In previous studies, some scholars divided the bad behaviors of students into 19 categories, covering 22 subcategories. These bad behaviors may represent a lack of either Student Engagements or intention to study the course. With the rise of artificial intelligence, some students’ lousy behavior recognition in the classroom can be used as the judgment standard of Student Engagements. In this work, we try to use image processing technology combined with machine learning and use SVM method to determine whether students have the use of mobile phones in the classroom. We divide the processing stage into several parts, namely pre-processing, segmentation, extract features, and machine learning. In the futures, we may use artificial intelligence to judge the dis-behavior of students during class; it is also possible to assist in the validation of research related to such scales in the past.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - 2nd International Conference, ICITL 2019, Proceedings
EditorsLisbet Rønningsbakk, Ting-Ting Wu, Frode Eika Sandnes, Yueh-Min Huang
PublisherSpringer
Pages149-154
Number of pages6
ISBN (Print)9783030353421
DOIs
Publication statusPublished - 2019 Jan 1
Event2nd International Conference on Innovative Technologies and Learning, ICITL 2019 - Tromsø, Norway
Duration: 2019 Dec 22019 Dec 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11937 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Innovative Technologies and Learning, ICITL 2019
CountryNorway
CityTromsø
Period19-12-0219-12-05

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lu, C. Y., Lin, Y. C., & Shaw, H. J. (2019). An Image Recognition Practice for Using Mobile Phone During Class. In L. Rønningsbakk, T-T. Wu, F. E. Sandnes, & Y-M. Huang (Eds.), Innovative Technologies and Learning - 2nd International Conference, ICITL 2019, Proceedings (pp. 149-154). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11937 LNCS). Springer. https://doi.org/10.1007/978-3-030-35343-8_16