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 language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 410-413 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509030156 |
| DOIs | |
| State | Published - 17 Mar 2017 |
| Event | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 - Jeju Island, Korea, Republic of Duration: 13 Feb 2017 → 16 Feb 2017 |
Publication series
| Name | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 |
|---|
Conference
| Conference | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 13/02/17 → 16/02/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- MIFIT
- SAMS
- data mining
- measurement
- sleep
- smartphone usage
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