Analysis on the Effect of Living Habits and Environment to Concentration

Yukai Gu*, Qun Jin

*Corresponding author for this work

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

Abstract

It is believed that the living habits and living environment have a close relationship with a person’s concentration. In this study, an experiment is designed to measure the degree of concentration for two subjects for 40 days. Living habits and environment data, as well as EEG (Electroencephalogram) data are collected and divided into six cases according to gender and concentration status, and then PCA (Principal Component Analysis) for each case is conducted. Furthermore, using the principal components identified by PCA, a regression model is constructed to analyze the relationship between lifestyle (living habits and environment) data and concentration indexes by EEG. The analysis results on all the data of the subjects suggested that the regression model has a certain degree of accuracy and there exists a significant relationship between concentration and the time and quality of sleep on the previous day, even if the concentration status on the following day is different.

Original languageEnglish
Title of host publicationHCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages129-136
Number of pages8
ISBN (Print)9783031063879
DOIs
Publication statusPublished - 2022
Event24th International Conference on Human-Computer Interaction, HCI International, HCII 2022 - Virtual, Online
Duration: 2022 Jun 262022 Jul 1

Publication series

NameCommunications in Computer and Information Science
Volume1581 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference24th International Conference on Human-Computer Interaction, HCI International, HCII 2022
CityVirtual, Online
Period22/6/2622/7/1

Keywords

  • Concentration index by EEG
  • Electroencephalogram (EEG)
  • Principal Component Analysis (PCA)
  • Principal Component Regression (PCR)

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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