Automatic Evaluation of Learning Behaviors for Online Lectures by OpenPose

Taisuke Kawamata, Takako Akakura

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

Abstract

To prevent that learners do something unrelated to an online lecture, we proposed an automatic evaluation method of learning behavior. This method extracted the pose of learners and a teacher by OpenPose, constructed a model that estimate to a teacher's pose at j sec in online lecture from a learner's one, and evaluated by measuring the difference between estimated and actual values. The result of an experiment showed this could detect the unrelated actions about 90%.

Original languageEnglish
Title of host publicationLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages384-385
Number of pages2
ISBN (Electronic)9781665419048
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
Duration: 7 Mar 20229 Mar 2022

Publication series

NameLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Country/TerritoryJapan
CityOsaka
Period7/03/229/03/22

Keywords

  • Online learning
  • OpenPose
  • self-occlusion

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