SleepMore: Inferring sleep duration at scale via multi-device WiFi sensing
The availability of commercial wearable trackers equipped with features to monitor sleep duration and quality has enabled more useful sleep health monitoring applications and analyses. However, much research has reported the challenge of long-term user retention in sleep monitoring through these mod...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7746 https://ink.library.smu.edu.sg/context/sis_research/article/8749/viewcontent/sleepMore.pdf |
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| Institution: | Singapore Management University |
| Language: | English |