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={David C. 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… 

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