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...

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Udgivet i:PLoS One
Main Authors: Cuttone, Andrea, Bækgaard, Per, Sekara, Vedran, Jonsson, Håkan, Larsen, Jakob Eg, Lehmann, Sune
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2017
Fag:
Research Article
Online adgang: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
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