The DOI matches its Crossref record.
An Activity Recognition System For Mobile Phones
Overview
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Citations
Cited by
Activity recognition using cell phone accelerometers
Kwapisz, J. R., Weiss, G. M., & Moore, S. A. (2011) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1964897.1964918 · Cited by 2,912
Window Size Impact in Human Activity Recognition
Banos, O., Galvez, J.-M., Damas, M., Pomares, H., & Rojas, I. (2014) · Sensors · doi:10.3390/s140406474 · Cited by 648
A Survey on Ambient Intelligence in Healthcare
Acampora, G., Cook, D. J., Rashidi, P., & Vasilakos, A. V. (2013) · Proceedings of the IEEE · doi:10.1109/jproc.2013.2262913 · Cited by 630
Activity recognition on streaming sensor data
Krishnan, N. C., & Cook, D. J. (2014) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2012.07.003 · Cited by 488
A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
Janidarmian, M., Roshan Fekr, A., Radecka, K., & Zilic, Z. (2017) · Sensors · doi:10.3390/s17030529 · Cited by 217
Metadata
- Authors
- Győrbíró, N., Fábián, Á., & Hományi, G.
- Venue
- Mobile Networks and Applications
- Published
- 2008-11-07
- Volume
- 14
- Issue
- 1
- Pages
- 82-91
- ISSN
- 1383-469X (ISSN-L)
- 1572-8153
- OpenAlex
- W2041608059
- Cited by
- 234
- References
- 0
- FWCI
- 15.75
- 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.
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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: An Activity Recognition System For Mobile Phones. https://app.cochat.ai/papers/10.1007/s11036-008-0112-y
- The paper
- Győrbíró, N., Fábián, Á., & Hományi, G. (2009). An Activity Recognition System For Mobile Phones. Mobile Networks and Applications. https://doi.org/10.1007/s11036-008-0112-y
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.
