The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Reviews on Various Inertial Measurement Unit (IMU) Sensor Applications
Abstract
Inertial Measurement Unit (IMU) sensors are used widely in many different movable applications. Across many years, the improvements and applications of IMU have increased through various areas such as manufacturing, navigation, and robotics. This paper presents a literature review of several current IMU categories and applications. A few considerations on choosing an IMU for different applications are summarized and current methods being used to improve the accuracy of the output from IMU are also presented to avoid the errors that latest IMU is facing. Improvement methods include the control algorithms and type of filters for the sensor. Pros and cons of the types and algorithms used are also discussed in relation to different applications.
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Cites
A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package
Zhu, R., & Zhou, Z. (2004) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2004.827825 · Cited by 390
Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filter
Foxlin, E. (1996) · Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium · doi:10.1109/vrais.1996.490527 · Cited by 365
STARLETH: A COMPLIANT QUADRUPEDAL ROBOT FOR FAST, EFFICIENT, AND VERSATILE LOCOMOTION
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STARLETH: A compliant quadrupedal robot for fast, efficient, and versatile locomotion
Hutter, M., Gehring, C., Bloesch, M., Hoepflinger, M. A., Remy, C. D., & Siegwart, R. (2012) · doi:10.3929/ethz-a-010034688 · Cited by 155
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A motion-stabilized outdoor augmented reality system
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Hands-Off Assistive Robotics for Post-Stroke Arm Rehabilitation
Eriksson, J., Matarić, M. J., & Winstein, C. J. (2005) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2005.1501042 · Cited by 104
IMU-based localization and slip estimation for skid-steered mobile robots
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Cited by
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
Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review
Boukhennoufa, I., Zhai, X., Utti, V., Jackson, J., & McDonald-Maier, K. D. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103197 · Cited by 180
“IMUs are devices that combine linear acceleration from accelerometer and the angular turning rates from gyroscopes [84].”
BackgroundIMU Sensor-Based Hand Gesture Recognition for Human-Machine Interfaces
Kim, M., Cho, J., Lee, S., & Jung, Y. (2019) · Sensors · doi:10.3390/s19183827 · Cited by 169
Xu, J., Pan, S., Sun, P. Z. H., Hyeong Park, S., & Guo, K. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3225782 · Cited by 120
Xu, D., Feng, Y., Mai, J., & Wang, Q. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2870152 · Cited by 67
Metadata
- Authors
- Ahmad, N., Ghazilla, R. A. R., Khairi, N. M., & Kasi, V.
- Venue
- International Journal of Signal Processing Systems
- Publisher
- EJournal Publishing
- Published
- 2013
- Pages
- 256-262
- ISSN
- 2315-4535 (ISSN-L)
- OpenAlex
- W2331577291
- Cited by
- 406
- References
- 15
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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