ロード中...
SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events
We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals’ daily sleep periods and their evolution over time, and provides an estimation of the probability of sleep and wake transitions. The model is fitted to more than 400 participa...
保存先:
| 出版年: | PLoS One |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2017
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5226832/ https://ncbi.nlm.nih.gov/pubmed/28076375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0169901 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|