The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
HydroSense: infrastructure-mediated single-point sensing of whole-home water activity
Abstract
Recent work has examined infrastructure-mediated sensing as a practical, low-cost, and unobtrusive approach to sensing human activity in the physical world. This approach is based on the idea that human activities (e.g., running a dishwasher, turning on a reading light, or walking through a doorway) can be sensed by their manifestations in an environment's existing infrastructures (e.g., a home's water, electrical, and HVAC infrastructures). This paper presents HydroSense, a low-cost and easily-installed single-point sensor of pressure within a home's water infrastructure. HydroSense supports both identification of activity at individual water fixtures within a home (e.g., a particular toilet, a kitchen sink, a particular shower) as well as estimation of the amount of water being used at each fixture. We evaluate our approach using data collected in ten homes. Our algorithms successfully identify fixture events with 97.9% aggregate accuracy and can estimate water usage with error rates that are comparable to empirical studies of traditional utility-supplied water meters. Our results both validate our approach and provide a basis for future improvements.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Digital Family Portrait Field Trial: Support for Aging in Place
Rowan, J., & Mynatt, E. D. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055044 · Cited by 254
Cited by
Is disaggregation the holy grail of energy efficiency? The case of electricity
Carrie Armel, K., Gupta, A., Shrimali, G., & Albert, A. (2013) · Energy Policy · doi:10.1016/j.enpol.2012.08.062 · Cited by 595
The smart thermostat: using occupancy sensors to save energy in homes
Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., Field, E., & Whitehouse, K. (2010) · Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/1869983.1870005 · Cited by 502
Gupta, S., Reynolds, M. S., & Patel, S. N. (2010) · Proceedings of the 12th ACM international conference on Ubiquitous computing · doi:10.1145/1864349.1864375 · Cited by 422
Self-citationSensor technology for smart homes
Ding, D., Cooper, R. A., Pasquina, P. F., & Fici-Pasquina, L. (2011) · Maturitas · doi:10.1016/j.maturitas.2011.03.016 · Cited by 272
Sensing Fine-Grained Hand Activity with Smartwatches
Laput, G., & Harrison, C. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300568 · Cited by 147
Metadata
- Authors
- Froehlich, J. E., Larson, E., Campbell, T., Haggerty, C., Fogarty, J., & Patel, S. N.
- Venue
- Proceedings of the 11th international conference on Ubiquitous computing
- Publisher
- ACM
- Published
- 2009-09-30
- Pages
- 235-244
- OpenAlex
- W2148926368
- Cited by
- 182
- References
- 1
- FWCI
- 14.72
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: HydroSense: infrastructure-mediated single-point sensing of whole-home water activity. https://app.cochat.ai/papers/10.1145/1620545.1620581
- The paper
- Froehlich, J. E., Larson, E., Campbell, T., Haggerty, C., Fogarty, J., & Patel, S. N. (2009). HydroSense: infrastructure-mediated single-point sensing of whole-home water activity. Proceedings of the 11th international conference on Ubiquitous computing. https://doi.org/10.1145/1620545.1620581
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.