OrientationNN: a physics-informed lightweight neural network for real-time joint kinematics estimation from IMU data
OrientationNN enables accurate and computationally efficient joint kinematics estimation from IMU data. The results highlight its potential as a cost-effective and scalable solution for wearable biomechanical and motion analysis applications.
Authors
- H. B. Wang
- Ziyun Ding (ORCID: https://orcid.org/0000-0002-1400-792X)
- Qingyao Bian
- Khalid Alsayed
Institutions
- King Abdulaziz University (SA)
- Nanjing University of Information Science and Technology (CN)
- Nanjing University of Science and Technology (CN)
- University of Birmingham (GB)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fbioe.2025.1737916
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Engineering and Physical Sciences Research Council