Data collection and analysis of smartphone use and sleep of secondary school children

Heejune Ahn, Giang T. Nguyen, Heyoung Lee, Sun Jin Jo, Eun Jin Kim, Hyeon Woo Yim

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

4 Scopus citations

Abstract

Sleeping hour and quality have been considered a key factor to human physical and mental health. Excessive smartphone use can affect the sleep performance of adolescents. This paper designed a measurement experiment system and first data analysis on the relationship between the smartphone use patterns and times to bed, wake up, and spent in bed, using MI band activity tracker and SAMS Android application. We collected and analyzed 23 first-year secondary school children for 8 weeks The results show the main use time of smartphone, defined 'centroid time' can have significant effects on sleep time shortage, lateness of sleep, and sleep quality, implying the late use of smartphone use effects much on sleep quality.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages410-413
Number of pages4
ISBN (Electronic)9781509030156
DOIs
StatePublished - 17 Mar 2017
Event2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 - Jeju Island, Korea, Republic of
Duration: 13 Feb 201716 Feb 2017

Publication series

Name2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017

Conference

Conference2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/02/1716/02/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • data mining
  • measurement
  • MIFIT
  • SAMS
  • sleep
  • smartphone usage

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