The DOI matches its Crossref record.
The role of prediction algorithms in the MavHome smart home architecture
Abstract
The goal of the MavHome project is to create a home that acts as a rational agent. The agent seeks to maximize inhabitant comfort and minimize operation cost. To achieve these goals, the agent must be able to predict the mobility patterns and device usages of the inhabitants. We introduce the MavHome project and its underlying architecture. The role of prediction algorithms within the architecture is discussed, and three prediction algorithms that are central to home operations are presented. We demonstrate the effectiveness of these algorithms on synthetic and/or actual smart home data.
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
Cited by
Activity Recognition in the Home Using Simple and Ubiquitous Sensors
Tapia, E. M., Intille, S. S., & Larson, K. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24646-6_10 · Cited by 1,323
A review of smart homes—Present state and future challenges
Chan, M., Estève, D., Escriba, C., & Campo, E. (2008) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2008.02.001 · Cited by 1,007
Ambient intelligence: Technologies, applications, and opportunities
Cook, D. J., Augusto, J. C., & Jakkula, V. R. (2009) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2009.04.001 · Cited by 964
Self-citationA systematic review of the smart home literature: A user perspective
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.08.015 · Cited by 718
Mocrii, D., Chen, Y., & Musilek, P. (2018) · Internet of Things · doi:10.1016/j.iot.2018.08.009 · Cited by 348
Metadata
- Authors
- Das, S. K., Cook, D. J., Battacharya, A., Heierman, E. O., & Lin, T.-Y.
- Venue
- IEEE Wireless Communications
- Published
- 2002-12
- Volume
- 9
- Issue
- 6
- Pages
- 77-84
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2122962140
- Cited by
- 322
- References
- 0
- FWCI
- 12.27
- Type
- journal article
- 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: The role of prediction algorithms in the MavHome smart home architecture. https://app.cochat.ai/papers/10.1109/mwc.2002.1160085
- The paper
- Das, S. K., Cook, D. J., Battacharya, A., Heierman, E. O., & Lin, T.-Y. (2002). The role of prediction algorithms in the MavHome smart home architecture. IEEE Wireless Communications. https://doi.org/10.1109/mwc.2002.1160085
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.
