3D Orientation Estimation Using Inertial Sensors
DOI:
https://doi.org/10.18196/jet.v6i1.14638Keywords:
3D orientation, inertial sensor, neurorehabilitationAbstract
Recently, inertial sensors have been widely used in the measurement of 3D orientations because of their small size and relative low cost. One of the useful applications in the area of Neurorehabilitation is to assess the upper limb motion for patients who are under neurorehabilitation. In this paper, the computation of the 3D orientation is discussed utilising the outputs from accelerometers, gyroscopes and magnetometers. Different 3D orientation representations are discussed to give recommendations for different use scenarios. Based on the results form the 3D orientation, 2D and 3D position tracking techniques are also calculated by considering the joint links and kinematics constraints from the upper limb segments. The results showed that the performance using complementary filter can make good estimation of the orientation.References
E. M. Diaz, D. B. Ahmed, en S. Kaiser, “A review of indoor localization methods based on inertial sensors”, Geogr. Fingerprinting Data to Creat. Syst. Indoor Position. Indoor/Outdoor Navig., bll 311–333, 2019.
Y. Wu, H.-B. Zhu, Q.-X. Du, en S.-M. Tang, “A survey of the research status of pedestrian dead reckoning systems based on inertial sensors”, Int. J. Autom. Comput., vol 16, no 1, bll 65–83, 2019.
F. W. Gobana, “Survey of Inertial/magnetic Sensors Based pedestrian dead reckoning by multi-sensor fusion method”, in 2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018, bll 1327–1334.
L. Bai, M. G. Pepper, Y. Yan, M. Phillips, en M. Sakel, “Quantitative measurement of upper limb motion pre- and post-treatment with Botulinum Toxin”, Meas. J. Int. Meas. Confed., 2021, doi: 10.1016/j.measurement.2020.108304.
L. Bai, M. G. Pepper, Y. Yan, M. Phillips, en M. Sakel, “Low Cost Inertial Sensors for the Motion Tracking and Orientation Estimation of Human Upper Limbs in Neurological Rehabilitation”, IEEE Access, 2020, doi: 10.1109/ACCESS.2020.2981014.
L. Bai, C. Efstratiou, en C. S. Ang, “weSport: Utilising wrist-band sensing to detect player activities in basketball games”, in 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016, bll 1–6.
M. T. O. Worsey, H. G. Espinosa, J. B. Shepherd, en D. V Thiel, “Inertial sensors for performance analysis in combat sports: A systematic review”, Sports, vol 7, no 1, bl 28, 2019.
L. Bai, C. Yeung, C. Efstratiou, en M. Chikomo, “Motion2Vector: Unsupervised learning in human activity recognition using wrist-sensing data”, in UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019, doi: 10.1145/3341162.3349335.
F. Demrozi, G. Pravadelli, A. Bihorac, en P. Rashidi, “Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey”, IEEE Access, vol 8, bll 210816–210836, 2020.
L. Bai, “A Sensor Based Assessment Monitoring System for Patients with Neurological Disabilities”, J. Robot. Control, vol 2, no 6, bll 489–495, 2021.
B. Milosevic, A. Leardini, en E. Farella, “Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison”, Biomed. Eng. Online, vol 19, no 1, bll 1–26, 2020.
M. O’Reilly, B. Caulfield, T. Ward, W. Johnston, en C. Doherty, “Wearable inertial sensor systems for lower limb exercise detection and evaluation: A systematic review”, Sport. Med., vol 48, no 5, bll 1221–1246, 2018.
M. Nazarahari en H. Rouhani, “Semi-automatic sensor-to-body calibration of inertial sensors on lower limb using gait recording”, IEEE Sens. J., vol 19, no 24, bll 12465–12474, 2019.
L. Bai, “Time-Frequency Analysis of Upper Limb Motion Based on Inertial Sensors”, in 2021 32nd Irish Signals and Systems Conference (ISSC), 2021, bll 1–6.
L. Bai, M. G. Pepper, Y. Yana, S. K. Spurgeon, en M. Sakel, “Application of low cost inertial sensors to human motion analysis”, in 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings, 2012, doi: 10.1109/I2MTC.2012.6229349.
V. P. Bravo en J. A. Muñoz, “Wearables and their applications for the rehabilitation of elderly people”, Med. Biol. Eng. Comput., bll 1–14, 2022.
A. Lawrence, Modern inertial technology: navigation, guidance, and control. Springer Science & Business Media, 2001.
A. Béliveau, G. T. Spencer, K. A. Thomas, en S. L. Roberson, “Evaluation of MEMS capacitive accelerometers”, IEEE Des. Test Comput., vol 16, no 4, bll 48–56, 1999.
R. H. Bishop, The mechatronics handbook-2 volume set. CRC press, 2002.
B. B. Graham, “Using an accelerometer sensor to measure human hand motion”. Massachusetts Institute of Technology, 2000.
A. A. Trusov, “Overview of MEMS gyroscopes: history, principles of operations, types of measurements”, Univ. California, Irvine, USA, bl 1, 2011.
W. Stockwell, “Angle random walk”, Appl. Note. Crossbow Technol. Inc, bll 1–4, 2003.
M. Marchesi, “Fluxgate Magnetic Sensor System for Electronic Compass”, Univ. Degli Stud. Di Pavia, 2006.
L. Euler, “Formulae generales pro translatione quacunque corporum rigidorum”, Novi Comment. Acad. Sci. Petropolitanae, bll 189–207, 1776.
E. G. Hemingway en O. M. O’Reilly, “Perspectives on Euler angle singularities, gimbal lock, and the orthogonality of applied forces and applied moments”, Multibody Syst. Dyn., vol 44, no 1, bll 31–56, 2018.
L. Bai, M. G. Pepper, Y. Yan, S. K. Spurgeon, M. Sakel, en M. Phillips, “Quantitative Assessment of Upper Limb Motion in Neurorehabilitation Utilizing Inertial Sensors”, IEEE Trans. Neural Syst. Rehabil. Eng., 2015, doi: 10.1109/TNSRE.2014.2369740.
S. Y. Cho en C. G. Park, “A Calibration Technique for a Two‐Axis Magnetic Compass in Telematics Devices”, ETRI J., vol 27, no 3, bll 280–288, 2005.
L. Bai, M. G. Pepper, Y. Yan, S. K. Spurgeon, M. Sakel, en M. Phillips, “A multi-parameter assessment tool for upper limb motion in neurorehabilitation”, in Conference Record - IEEE Instrumentation and Measurement Technology Conference, 2011, doi: 10.1109/IMTC.2011.5944169.
A. Lawrence, “Modern Inertial Technology: Navigation, Guidance, and Control, 2nd ed”, Modern Inertial Technology. 1998.
Downloads
Published
How to Cite
Issue
Section
License
Copyright
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Journal of Electrical Technology UMY. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
Authors should sign Copyright Transfer Agreement when they have approved the final proofs sent by the journal prior the publication. JET UMY strives to ensure that no errors occur in the articles that have been published, both data errors and statements in the article.
JET UMY keep the rights to articles that have been published. Authors are permitted to disseminate published article by sharing the link of JET UMY website. Authors are allowed to use their works for any purposes deemed necessary without written permission from JET UMY with an acknowledgement of initial publication in this journal.
License
All articles published in JET UMY are licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA) license. You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.