The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Gesture spotting with body-worn inertial sensors to detect user activities
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
Recognizing human action in time-sequential images using hidden Markov model
Yamato, J., Ohya, J., & Ishii, K. (2003) · Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1992.223161 · Cited by 1,273
An online algorithm for segmenting time series
Keogh, E., Chu, S., Hart, D., & Pazzani, M. (2002) · Proceedings 2001 IEEE International Conference on Data Mining · doi:10.1109/icdm.2001.989531 · Cited by 1,149
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
Patterson, D. J., Fox, D., Kautz, H., & Philipose, M. (2005) · Ninth IEEE International Symposium on Wearable Computers (ISWC'05) · doi:10.1109/iswc.2005.22 · Cited by 452
Analysis of Chewing Sounds for Dietary Monitoring
Amft, O., Stäger, M., Lukowicz, P., & Tröster, G. (2005) · Lecture Notes in Computer Science · doi:10.1007/11551201_4 · Cited by 216
Self-citation
Cited by
Soli: ubiquitous gesture sensing with millimeter wave radar
Lien, J., Gillian, N., Karagozler, M. E., Amihood, P., Schwesig, C., Olson, E., Raja, H., & Poupyrev, I. (2016) · ACM Transactions on Graphics · doi:10.1145/2897824.2925953 · Cited by 957
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
Barshan, B., & Yuksek, M. C. (2014) · The Computer Journal · doi:10.1093/comjnl/bxt075 · Cited by 346
Bite Weight Prediction From Acoustic Recognition of Chewing
Amft, O., Kusserow, M., & Troster, G. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2015873 · Cited by 123
Self-citationAction Recognition in Manufacturing Assembly using Multimodal Sensor Fusion
Al-Amin, M., Tao, W., Doell, D., Lingard, R., Yin, Z., Leu, M. C., & Qin, R. (2019) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.01.288 · Cited by 85
Metadata
- Authors
- Junker, H., Amft, O., Lukowicz, P., & Tröster, G.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 41
- Issue
- 6
- Pages
- 2010-2024
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2112628161
- Cited by
- 361
- References
- 5
- FWCI
- 17.46
- 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: Gesture spotting with body-worn inertial sensors to detect user activities. https://app.cochat.ai/papers/10.1016/j.patcog.2007.11.016
- The paper
- Junker, H., Amft, O., Lukowicz, P., & Tröster, G. (2008). Gesture spotting with body-worn inertial sensors to detect user activities. Pattern Recognition. https://doi.org/10.1016/j.patcog.2007.11.016
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.
