Lifestreams: a modular sense-making toolset for identifying important patterns from everyday life

@inproceedings{Hsieh2013LifestreamsAM,
  title={Lifestreams: a modular sense-making toolset for identifying important patterns from everyday life},
  author={Cheng-Kang Hsieh and Hongsuda Tangmunarunkit and Faisal Alquaddoomi and John Jenkins and Jinha Kang and Cameron Ketcham and Brent Longstaff and Joshua Selsky and Betta Dawson and Dallas T Swendeman and Deborah Estrin and Nithya Ramanathan},
  booktitle={SenSys},
  year={2013}
}
Smartphones can capture diverse spatio-temporal data about an individual; including both intermittent self-report, and continuous passive data collection from onboard sensors and applications. The resulting personal data streams can support powerful inference about the user's state, behavior, well-being and environment. However making sense and acting on these multi-dimensional, heterogeneous data streams requires iterative and intensive exploration of the datasets, and development of… CONTINUE READING

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