The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package
Abstract
A basic requirement in virtual environments is the tracking of objects, especially humans. A real time motion-tracking system was presented and evaluated in this paper. System sensors were built using tri-axis microelectromechanical accelerometers, rate gyros, and magnetometers. A Kalman-based fusion algorithm was applied to obtain dynamic orientations and further positions of segments of the subject's body. The system with the proposed algorithm was evaluated via dynamically measuring Euler orientation and comparing with other two conventional methods. An arm motion experiment was demonstrated using the developed system and algorithm. The results validated the effectiveness of the proposed method.
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
Tracking and Kalman Filtering Made Easy
Brookner, E. (1998) · doi:10.1002/0471224197 · Cited by 435
Cited by
(2009) · Cited by 701
Reviews on Various Inertial Measurement Unit (IMU) Sensor Applications
Ahmad, N., Ghazilla, R. A. R., Khairi, N. M., & Kasi, V. (2013) · International Journal of Signal Processing Systems · doi:10.12720/ijsps.1.2.256-262 · Cited by 406
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
The use of inertial sensors system for human motion analysis
Cuesta-Vargas, A. I., Galán-Mercant, A., & Williams, J. M. (2010) · Physical Therapy Reviews · doi:10.1179/1743288x11y.0000000006 · Cited by 369
Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion
Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., & Stricker, D. (2017) · Sensors · doi:10.3390/s17061257 · Cited by 361
Metadata
- Authors
- Zhu, R., & Zhou, Z.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2004-06
- Volume
- 12
- Issue
- 2
- Pages
- 295-302
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2102548030
- Cited by
- 390
- References
- 1
- FWCI
- 26.67
- 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: A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. https://app.cochat.ai/papers/10.1109/tnsre.2004.827825
- The paper
- Zhu, R., & Zhou, Z. (2004). A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2004.827825
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.
