The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
IMU-Based Joint Angle Measurement for Gait Analysis
Open accessAbstract
This contribution is concerned with joint angle calculation based on inertial measurement data in the context of human motion analysis. Unlike most robotic devices, the human body lacks even surfaces and right angles. Therefore, we focus on methods that avoid assuming certain orientations in which the sensors are mounted with respect to the body segments. After a review of available methods that may cope with this challenge, we present a set of new methods for: (1) joint axis and position identification; and (2) flexion/extension joint angle measurement. In particular, we propose methods that use only gyroscopes and accelerometers and, therefore, do not rely on a homogeneous magnetic field. We provide results from gait trials of a transfemoral amputee in which we compare the inertial measurement unit (IMU)-based methods to an optical 3D motion capture system. Unlike most authors, we place the optical markers on anatomical landmarks instead of attaching them to the IMUs. Root mean square errors of the knee flexion/extension angles are found to be less than 1° on the prosthesis and about 3° on the human leg. For the plantar/dorsiflexion of the ankle, both deviations are about 1°.
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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
Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing
Sabatini, A. M. (2011) · Sensors · doi:10.3390/s110201489 · Cited by 349
Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics
Zhang, J.-T., Novak, A. C., Brouwer, B., & Li, Q. (2013) · Physiological Measurement · doi:10.1088/0967-3334/34/8/n63 · Cited by 314
Joint-Angle Measurement Using Accelerometers and Gyroscopes—A Survey
Cheng, P., & Oelmann, B. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2009.2024367 · Cited by 140
Cited by
Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity
Al-Amri, M., Nicholas, K., Button, K., Sparkes, V., Sheeran, L., & Davies, J. (2018) · Sensors · doi:10.3390/s18030719 · Cited by 318
Picerno, P. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2016.11.008 · Cited by 237
Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges
Faisal, A. I., Majumder, S., Mondal, T., Cowan, D., Naseh, S., & Deen, M. J. (2019) · Sensors · doi:10.3390/s19112629 · Cited by 187
Bolink, S. A. A. N., Naisas, H., Senden, R., Essers, H., Heyligers, I. C., Meijer, K., & Grimm, B. (2016) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2015.11.009 · Cited by 147
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
Bangaru, S. S., Wang, C., Busam, S. A., & Aghazadeh, F. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103653 · Cited by 114
Metadata
- Authors
- Seel, T., Raisch, J., & Schauer, T.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2014-04-16
- Volume
- 14
- Issue
- 4
- Pages
- 6891-6909
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2002204150
- Cited by
- 867
- References
- 4
- FWCI
- 23.84
- Type
- journal article
- Language
- en
- Open access
- gold
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