A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home

@inproceedings{Froehlich2011ALS,
  title={A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home},
  author={Jon Froehlich and Eric C. Larson and Elliot Saba and Tim Campbell and Les E. Atlas and James Fogarty and Shwetak N. Patel},
  booktitle={Pervasive},
  year={2011}
}
We present the first longitudinal study of pressure sensing to infer real-world water usage events in the home (e.g., dishwasher, upstairs bathroom sink, downstairs toilet). In order to study the pressure-based approach out in the wild, we deployed a ground truth sensor network for five weeks in three homes and two apartments that directly monitored valve-level water usage by fixtures and appliances. We use this data to, first, demonstrate the practical challenges in constructing water usage… CONTINUE READING
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Key Quantitative Results

  • We show that with a single pressure sensor, our probabilistic algorithm can classify real-world water usage at the fixture level with 90% accuracy and at the fixturecategory level with 96% accuracy.

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