The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Inferring High-Level Behavior from Low-Level Sensors
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
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
Bar‐Shalom, Y., Li, X. ‐., & Kirubarajan, T. (2002) · doi:10.1002/0471221279 · Cited by 6,782
Location systems for ubiquitous computing
Hightower, J., & Borriello, G. (2001) · Computer · doi:10.1109/2.940014 · Cited by 2,987
Dynamic bayesian networks: representation, inference and learning
Murphy, K. P., & Russell, S. (2002) · Cited by 2,575
Bilmes, J. A. (1998) · Cited by 2,451
Multitarget-Multisensor Tracking: Principles and Techniques
Bar-Shalom, Y., & Rong-Li, X. (1995) · Cited by 2,155
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
Wei, G. C. G., & Tanner, M. A. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10474930 · Cited by 1,453
Autonomous vehicle positioning with gps in urban canyon environments
Cui, Y., & Ge, S. S. (2003) · IEEE Transactions on Robotics and Automation · doi:10.1109/tra.2002.807557 · Cited by 344
Del Moral, P., & Miclo, L. (2000) · Lecture Notes in Mathematics · doi:10.1007/bfb0103798 · Cited by 275
Implementations of the Monte Carlo EM Algorithm
Levine, R. A., & Casella, G. (2001) · Journal of Computational and Graphical Statistics · doi:10.1198/106186001317115045 · Cited by 235
Cited by
Understanding mobility based on GPS data
Zheng, Y., Li, Q., Chen, Y., Xie, X., & Ma, W.-Y. (2008) · Proceedings of the 10th international conference on Ubiquitous computing · doi:10.1145/1409635.1409677 · Cited by 1,132
Sensor-Based Activity Recognition
Chen, L., Hoey, J., Nugent, C. D., Cook, D. J., & Yu, Z. (2012) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2012.2198883 · Cited by 1,074
Hidden Markov map matching through noise and sparseness
Newson, P., & Krumm, J. (2009) · Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems · doi:10.1145/1653771.1653818 · Cited by 1,019
Learning transportation mode from raw gps data for geographic applications on the web
Zheng, Y., Liu, L., Wang, L., & Xie, X. (2008) · Proceedings of the 17th international conference on World Wide Web · doi:10.1145/1367497.1367532 · Cited by 616
Enabling technologies for green Internet of Things
Shaikh, F. K., Zeadally, S., & Exposito, E. (2017) · IEEE Systems Journal · doi:10.1109/jsyst.2015.2415194 · Cited by 382
Metadata
- Authors
- Patterson, D. J., Liao, L., Fox, D., & Kautz, H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2003
- Pages
- 73-89
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1521536236
- Cited by
- 517
- References
- 17
- FWCI
- 113.14
- 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: Inferring High-Level Behavior from Low-Level Sensors. https://app.cochat.ai/papers/10.1007/978-3-540-39653-6_6
- The paper
- Patterson, D. J., Liao, L., Fox, D., & Kautz, H. (2003). Inferring High-Level Behavior from Low-Level Sensors. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-39653-6_6
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.
