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 H. Tangmunarunkit and F. Alquaddoomi and J. Jenkins and J. Kang and C. Ketcham and B. Longstaff and Joshua Selsky and B. Dawson and D. Swendeman and D. Estrin and Nithya Ramanathan},
  booktitle={SenSys '13},
  year={2013}
}
  • Cheng-Kang Hsieh, H. Tangmunarunkit, +9 authors Nithya Ramanathan
  • Published in SenSys '13 2013
  • Computer Science
  • 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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