@inproceedings{22f5f9b049d2447092fa704af0f9b0e2,
title = "Data collection and analysis of smartphone use and sleep of secondary school children",
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.",
keywords = "data mining, measurement, MIFIT, SAMS, sleep, smartphone usage",
author = "Heejune Ahn and Nguyen, \{Giang T.\} and Heyoung Lee and Jo, \{Sun Jin\} and Kim, \{Eun Jin\} and Yim, \{Hyeon Woo\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 ; Conference date: 13-02-2017 Through 16-02-2017",
year = "2017",
month = mar,
day = "17",
doi = "10.1109/BIGCOMP.2017.7881746",
language = "English",
series = "2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "410--413",
booktitle = "2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017",
}