Evaluation of distance learning on concentration and relax by EEG and HRV: Poster abstract

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

Abstract

Distance learning, for which the demand is increasing due to the recent expansion of the COVID-19 pandemic, pointed out the problem of less communication level that it would reduce student's concentration level in the study. However, there is no clear and objective evidence about such effect on the concentration level. In this work, we propose a method to objectively evaluate distance learning with the biometric information to understand the difference of the student's concentration level during the study. We measure the student's electroencephalography (EEG) and heart rate variability (HRV) to evaluate the concentration level by observing the change of student's emotion based on different communication condition during distance learning. In the experiment, we measured EEG and HRV of the students, while turning on and off face-to-face (FTF) video camera. The analysis of EEG and HRV results show that different communication condition effect student's concentration level. We found that their emotional states are different when the video is turned on and off and also found that it could be due to their preferences of the subject.

Original languageEnglish
Title of host publicationSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages762-763
Number of pages2
ISBN (Electronic)9781450375900
DOIs
Publication statusPublished - 2020 Nov 16
Event18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, Japan
Duration: 2020 Nov 162020 Nov 19

Publication series

NameSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
Country/TerritoryJapan
CityVirtual, Online
Period20/11/1620/11/19

Keywords

  • COVID-19
  • distance learning
  • electroencephalography
  • heart rate

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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