Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

@article{Mohr2017PersonalSU,
  title={Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.},
  author={Donna L. Mohr and Mi Zhang and Stephen Matthew Schueller},
  journal={Annual review of clinical psychology},
  year={2017},
  volume={13},
  pages={
          23-47
        }
}
Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 54 REFERENCES

Daily Mood Assessment Based on Mobile Phone Sensing

Bhavana Choudhari, Kiren Negi, Rani Sonparote
  • 2018
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Deep learning in neural networks: An overview

  • Neural Networks
  • 2015
VIEW 2 EXCERPTS
HIGHLY INFLUENTIAL

First Click: Wearables are booming but is anyone still wearing them

T. Ricker
  • 2015
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Unobtrusive sleep monitoring using smartphones

  • 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops
  • 2013
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

The epidemiology of insomnia: associations with physical and mental health

B Sivertsen, S Krokstad, S Overland, A. Mykletun
  • The HUNT-2 study. J. Psychosom. Res. 67: 109-16
  • 2009
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

Estimated and Real-World Smartphone Use

J Asselbergs, J Ruwaard, +3 authors H. Riper
  • 2016
VIEW 2 EXCERPTS