SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events

Open Access

Peer-reviewed

Research Article

Andrea Cuttone ,

Contributed equally to this work with: Andrea Cuttone, Per Bækgaard

* E-mail: ancu@dtu.dk

Affiliation DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark
⨯
Per Bækgaard ,

Contributed equally to this work with: Andrea Cuttone, Per Bækgaard

Affiliation DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark
⨯
Vedran Sekara,

Affiliations DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark, Sony Mobile, Nya Vattentornet, Mobilvägen, Lund, Sweden
⨯
Håkan Jonsson,

Affiliation Sony Mobile, Nya Vattentornet, Mobilvägen, Lund, Sweden
⨯
Jakob Eg Larsen,

Affiliation DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark
⨯
Sune Lehmann

Affiliations DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark, The Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
⨯

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Cell phones
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Sleep
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Apps
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Accelerometers
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Probability distribution
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Circadian rhythms
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Human learning
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Algorithms
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