The DOI matches its Crossref record.
Distinguishing fall activities from normal activities by velocity characteristics
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
A survey on fall detection: Principles and approaches
Mubashir, M., Shao, L., & Seed, L. (2013) · Neurocomputing · doi:10.1016/j.neucom.2011.09.037 · Cited by 869
Fall detection - Principles and Methods
Noury, N., Fleury, A., Rumeau, P., Bourke, A. K., Laighin, G. O., Rialle, V., & Lundy, J. E. (2007) · 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2007.4352627 · Cited by 615
Activity identification using body-mounted sensors—a review of classification techniques
Preece, S. J., Goulermas, J. Y., Kenney, L. P. J., Howard, D., Meijer, K., & Crompton, R. (2009) · Physiological Measurement · doi:10.1088/0967-3334/30/4/r01 · Cited by 600
Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
Bagalà, F., Becker, C., Cappello, A., Chiari, L., Aminian, K., Hausdorff, J. M., Zijlstra, W., & Klenk, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037062 · Cited by 464
Zigel, Y., Litvak, D., & Gannot*, I. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2030171 · Cited by 375
Metadata
- Authors
- Wu, G.
- Venue
- Journal of Biomechanics
- Publisher
- Elsevier BV
- Published
- 2000-11
- Volume
- 33
- Issue
- 11
- Pages
- 1497-1500
- ISSN
- 0021-9290 (ISSN-L)
- OpenAlex
- W2116433035
- Cited by
- 192
- References
- 0
- FWCI
- 1.32
- 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: Distinguishing fall activities from normal activities by velocity characteristics. https://app.cochat.ai/papers/10.1016/s0021-9290(00)00117-2
- The paper
- Wu, G. (2000). Distinguishing fall activities from normal activities by velocity characteristics. Journal of Biomechanics. https://doi.org/10.1016/s0021-9290(00)00117-2
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.
