The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation
Open accessAbstract
This paper describes a complementary Kalman filter design to estimate orientation of human body segments by fusing gyroscope, accelerometer, and magnetometer signals from miniature sensors. Ferromagnetic materials or other magnetic fields near the sensor module disturb the local earth magnetic field and, therefore, the orientation estimation, which impedes many (ambulatory) applications. In the filter, the gyroscope bias error, orientation error, and magnetic disturbance error are estimated. The filter was tested under quasi-static and dynamic conditions with ferromagnetic materials close to the sensor module. The quasi-static experiments implied static positions and rotations around the three axes. In the dynamic experiments, three-dimensional rotations were performed near a metal tool case. The orientation estimated by the filter was compared with the orientation obtained with an optical reference system Vicon. Results show accurate and drift-free orientation estimates. The compensation results in a significant difference (p < 0.01) between the orientation estimates with compensation of magnetic disturbances in comparison to no compensation or only gyroscopes. The average static error was 1.4 degrees (standard deviation 0.4) in the magnetically disturbed experiments. The dynamic error was 2.6 degrees root means square.
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
Measuring orientation of human body segments using miniature gyroscopes and accelerometers
Luinge, H. J., & Veltink, P. H. (2005) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345966 · Cited by 647
Self-citationDetecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes
Williamson, R., & Andrews, B. J. (2001) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345283 · Cited by 185
Research works printed but not linked: 34
- Munneke, 2001, The value of a continuous ambulatory activity monitor to quantify the amount and intensity of daily activity in patients with rheumatoid arthritis, J. Rheumatol., 28, 745
- 10.1016/S1350-4533(97)00007-6 · DOI
- 10.1007/BF02348434 · DOI · Paper page
- 10.1177/154193120004402855 · DOI
- 10.1080/001401398186252 · DOI
- 10.1109/10.554760 · DOI · Paper page
- 10.3109/03091909809032535 · DOI
- 10.3233/THC-1999-7602 · DOI
- 10.1016/S1350-4533(02)00041-3 · DOI
- 10.1016/S0021-9290(01)00231-7 · DOI · Paper page
- Bachmann, 2000, Inertial and magnetic tracking of limb segment orientation for inserting humans into synthetic environments
- 10.1016/S0140-3664(02)00249-9 · doi:10.1016/s0140-3664(02)00249-9
- 10.1109/VRAIS.1996.490527 · DOI · Paper page
- 10.1109/TBME.2003.809490 · DOI
- 10.1109/TNSRE.2003.822759 · DOI · Paper page
- 10.1007/BF02345361 · DOI · Paper page
- 10.1016/S0003-6870(02)00072-8 · DOI
- 10.3233/THC-1999-7612 · DOI
- 10.1016/S0096-3003(03)00656-8 · DOI
- 10.1016/S0924-980X(98)00053-8 · DOI
- 10.1109/IROS.2001.976367 · DOI · Paper page
- Luinge, 2002, Inertial sensing of human movement
- Brown, 1997, Introduction to Random Signals and Applied Kalman Filtering
- 10.1109/TAES.1971.310252 · DOI · Paper page
- Geomagnetism, P.N
- Xsens
- Ferraris, 1995, Procedure for effortless in-field calibration of three axis rate gyros and accelerometers, Sens. Mater., 7, 311
- 10.1016/S0966-6362(96)01093-4 · DOI · Paper page
- Baten, Estimating body segment body orientation applying inertial sensing
- 10.4271/970602 · doi:10.4271/970602
- 10.1016/0924-4247(93)00667-S · DOI · Paper page
- 10.1016/S0924-4247(01)00860-3 · doi:10.1016/s0924-4247(01)00860-3
- 10.1061/(ASCE)0893-1321(2003)16:2(65) · doi:10.1061/(asce)0893-1321(2003)16:2(65
- 2003, Analog Devices
Cited by
Estimation of IMU and MARG orientation using a gradient descent algorithm
Madgwick, S. O. H., Harrison, A. J. L., & Vaidyanathan, R. (2011) · 2011 IEEE International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2011.5975346 · Cited by 2,068
(2009) · Cited by 701
Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2010.936554 · Cited by 423
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
Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing
Sabatini, A. M. (2011) · Sensors · doi:10.3390/s110201489 · Cited by 349
Metadata
- Authors
- Roetenberg, D., Luinge, H. J., Baten, C. T. M., & Veltink, P. H.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2005-09
- Volume
- 13
- Issue
- 3
- Pages
- 395-405
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2155067987
- Cited by
- 588
- References
- 2
- FWCI
- 35.37
- Type
- journal article
- Language
- en
- Open access
- green
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: Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation. https://app.cochat.ai/papers/10.1109/tnsre.2005.847353
- The paper
- Roetenberg, D., Luinge, H. J., Baten, C. T. M., & Veltink, P. H. (2005). Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2005.847353
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.