An IMU-Based Ground Reaction Force Estimation Method and Its Application in Walking Balance Assessment Article Swipe
Xiangzhi Liu
,
Xiangliang Zhang
,
Bin Zhang
,
Bin Zhou
,
Zexia He
,
Tao Liu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tnsre.2023.3347729
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tnsre.2023.3347729
Walking is one of the most common daily movements of the human body. Therefore, quantitative evaluation of human walking has been commonly used to assist doctors in grasping the disease degree and rehabilitation process of patients in the clinic. Compared with the kinematic characteristics, the ground reaction force (GRF) during walking can directly reflect the dynamic characteristics of human walking. It can further help doctors understand the degree of muscle recovery and joint coordination of patients. This paper proposes a GRF estimation method based on the elastic elements and Newton-Euler equation hybrid driving GRF estimation method. Compared with the existing research, the innovations are as follows. 1) The hardware system consists of only two inertial measurement units (IMUs) placed on shanks. The acquisition of the overall motion characteristics of human walking is realized through the simplified four-link walking model and the thigh prediction method. 2) The method was validated not only on 10 healthy subjects but also on 11 Parkinson's patients and 10 stroke patients with normalized mean absolute errors (NMAEs) of 5.95%±1.32%, 6.09%±2.00%, 5.87%±1.59%. 3) This paper proposes a dynamic balance assessment method based on the acquired motion data and the estimated GRF. It evaluates the overall balance ability and fall risk at four key time points for all subjects recruited. Because of the low-cost system, ease of use, low motion interference and environmental constraints, and high estimation accuracy, the proposed GRF estimation method and walking balance automatic assessment have broad clinical value.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tnsre.2023.3347729
- https://ieeexplore.ieee.org/ielx7/7333/4359219/10375567.pdf
- OA Status
- diamond
- Cited By
- 19
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390357447
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390357447Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tnsre.2023.3347729Digital Object Identifier
- Title
-
An IMU-Based Ground Reaction Force Estimation Method and Its Application in Walking Balance AssessmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-28Full publication date if available
- Authors
-
Xiangzhi Liu, Xiangliang Zhang, Bin Zhang, Bin Zhou, Zexia He, Tao LiuList of authors in order
- Landing page
-
https://doi.org/10.1109/tnsre.2023.3347729Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/7333/4359219/10375567.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/7333/4359219/10375567.pdfDirect OA link when available
- Concepts
-
Ground reaction force, Inertial measurement unit, Balance (ability), Estimation, Computer science, Accelerometer, Physical medicine and rehabilitation, Engineering, Artificial intelligence, Medicine, Physics, Kinematics, Systems engineering, Operating system, Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 13, 2024: 6Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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