ISB recommendations on the definition, estimation, and reporting of joint kinematics in human motion analysis applications using wearable inertial measurement technology
Open accessAbstract
There is widespread and growing use of inertial measurement technology for human motion analysis in biomechanics and clinical research. Due to advancements in sensor miniaturization, inertial measurement units can be used to obtain a description of human body and joint kinematics both inside and outside the laboratory. While algorithms for data processing continue to improve, a lack of standard reporting guidelines compromises the interpretation and reproducibility of results, which hinders advances in research and development of measurement and intervention tools. To address this need, the International Society of Biomechanics approved our proposal to develop recommendations on the use of inertial measurement units for joint kinematics analysis. A collaborative effort that incorporated feedback from the biomechanics community has produced recommendations in five categories: sensor characteristics and calibration, experimental protocol, definition of a kinematic model and subject-specific calibration, analysis of joint kinematics, and quality assessment. We have avoided an overly prescriptive set of recommendations for algorithms and protocols, and instead offer reporting guidelines to facilitate reproducibility and comparability across studies. In addition to a conceptual framework and reporting guidelines, we provide a checklist to guide the design and review of research using inertial measurement units for joint kinematics.
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In knee joint analysis, by establishing an anatomical coordinate system to identify the motion axis, continuous monitoring and prediction of the angle can be realized.
“In knee joint analysis, by establishing an anatomical coordinate system to identify the motion axis, continuous monitoring and prediction of the angle can be realized (Fig. 4c) 85 .”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [85]
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- Authors
- Cereatti, A., Gurchiek, R., Mündermann, A., Fantozzi, S., Horak, F., Delp, S., & Aminian, K.
- Affiliations
- Politecnico di Torino (IT)
- Clemson University (US)
- University of Basel (CH)
- University of Bologna (IT)
- Oregon Health & Science University (US)
- Stanford University (US)
- École Polytechnique Fédérale de Lausanne (CH)
- Corresponding author
- Cereatti, Andrea
- ORCID
- Venue
- Journal of Biomechanics
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 173
- Pages
- 112225
- ISSN
- 0021-9290 (ISSN-L)
- OpenAlex
- W4400455464
- Cited by
- 79
- References
- 100
- Citations by year
- 2026: 38 · 2025: 35 · 2024: 6
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Biomechanics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PORTO@Iris (submittedVersion, cc-by)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by-nc-nd)
- Funders
- International Society of Biomechanics
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Keywords
- inertial measurement unit, joint kinematics, wearable sensors, reporting guidelines, research recommendations, sensor calibration, subject-specific calibration, kinematic modeling, quality assessment, reproducibility, human motion analysis
- MeSH terms
- Wearable Electronic Devices, Algorithms, Biomechanical Phenomena, Calibration, Humans, Joints, Movement, Reproducibility of Results
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