The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Centinela: A human activity recognition system based on acceleration and vital sign data
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Citations
Cites
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Tapia, E. M., Intille, S. S., Haskell, W., Larson, K., Wright, J., King, A., & Friedman, R. (2007) · 2007 11th IEEE International Symposium on Wearable Computers · doi:10.1109/iswc.2007.4373774 · Cited by 458
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
Maurer, U., Smailagic, A., Siewiorek, D. P., & Deisher, M. (2006) · doi:10.21236/ada534437 · Cited by 266
Cited by
A Survey on Human Activity Recognition using Wearable Sensors
Lara, O. D., & Labrador, M. A. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.110112.00192 · Cited by 2,662
Self-citationTransition-Aware Human Activity Recognition Using Smartphones
Reyes-Ortiz, J.-L., Oneto, L., Samà, A., Parra, X., & Anguita, D. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.07.085 · Cited by 740
A robust human activity recognition system using smartphone sensors and deep learning
Hassan, M. M., Uddin, M. Z., Mohamed, A., & Almogren, A. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.029 · Cited by 656
Nweke, H. F., Teh, Y. W., Mujtaba, G., & Al-garadi, M. A. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.06.002 · Cited by 394
A Deep Learning Approach to Human Activity Recognition Based on Single Accelerometer
Chen, Y., & Xue, Y. (2015) · 2015 IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2015.263 · Cited by 378
Metadata
- Authors
- Lara, Ó. D., Pérez, A. J., Labrador, M. A., & Posada, J. D.
- Venue
- Pervasive and Mobile Computing
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 8
- Issue
- 5
- Pages
- 717-729
- ISSN
- 1574-1192 (ISSN-L)
- OpenAlex
- W1984489625
- Cited by
- 240
- References
- 3
- FWCI
- 10.70
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Centinela: A human activity recognition system based on acceleration and vital sign data. https://app.cochat.ai/papers/10.1016/j.pmcj.2011.06.004
- The paper
- Lara, Ó. D., Pérez, A. J., Labrador, M. A., & Posada, J. D. (2012). Centinela: A human activity recognition system based on acceleration and vital sign data. Pervasive and Mobile Computing. https://doi.org/10.1016/j.pmcj.2011.06.004
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.
