Abstract
A long-range, continuous, and accessible kinetic measurement system is required for evaluating gait disorders. Although methods employing force plates are gold standard in kinetic gait analysis, their usage is often limited by their measurement range, and they are cost-prohibitive for general clinics. Instrumented insole-based gait analysis systems using accessible sensors were proposed in previous works. However, these systems rely on the use of force plates to construct models to estimate ground reaction force. In this study, a method to construct models without using force plates was developed and evaluated. Subject-specific linear least squares regression models (with bounds and linear constraints) using data from two types of single-leg standing (SLS) tasks; static SLS and voluntary weight shift during SLS were used to determine ground reaction force. Comparison of the results with force plate data for straight walking in terms of the %RMSE, which indicates estimation accuracy of the models, showed that the results were about the same accurate as the models using force plates. In addition, we found possibility that voluntary weight shift during SLS can improve estimation accuracy of models.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 109-113 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467397087 |
| DOIs | |
| Publication status | Published - 2017 Feb 9 |
| Externally published | Yes |
| Event | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 - Baden-Baden, Germany Duration: 2016 Sep 19 → 2016 Sep 21 |
Other
| Other | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 |
|---|---|
| Country | Germany |
| City | Baden-Baden |
| Period | 16/9/19 → 16/9/21 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Science Applications
Cite this
Ground reaction force estimation using insole plantar pressure measurement system from single-leg standing. / Eguchi, Ryo; Yorozu, Ayanori; Fukumoto, Takahiko; Takahashi, Masaki.
2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 109-113 7849475.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Ground reaction force estimation using insole plantar pressure measurement system from single-leg standing
AU - Eguchi, Ryo
AU - Yorozu, Ayanori
AU - Fukumoto, Takahiko
AU - Takahashi, Masaki
PY - 2017/2/9
Y1 - 2017/2/9
N2 - A long-range, continuous, and accessible kinetic measurement system is required for evaluating gait disorders. Although methods employing force plates are gold standard in kinetic gait analysis, their usage is often limited by their measurement range, and they are cost-prohibitive for general clinics. Instrumented insole-based gait analysis systems using accessible sensors were proposed in previous works. However, these systems rely on the use of force plates to construct models to estimate ground reaction force. In this study, a method to construct models without using force plates was developed and evaluated. Subject-specific linear least squares regression models (with bounds and linear constraints) using data from two types of single-leg standing (SLS) tasks; static SLS and voluntary weight shift during SLS were used to determine ground reaction force. Comparison of the results with force plate data for straight walking in terms of the %RMSE, which indicates estimation accuracy of the models, showed that the results were about the same accurate as the models using force plates. In addition, we found possibility that voluntary weight shift during SLS can improve estimation accuracy of models.
AB - A long-range, continuous, and accessible kinetic measurement system is required for evaluating gait disorders. Although methods employing force plates are gold standard in kinetic gait analysis, their usage is often limited by their measurement range, and they are cost-prohibitive for general clinics. Instrumented insole-based gait analysis systems using accessible sensors were proposed in previous works. However, these systems rely on the use of force plates to construct models to estimate ground reaction force. In this study, a method to construct models without using force plates was developed and evaluated. Subject-specific linear least squares regression models (with bounds and linear constraints) using data from two types of single-leg standing (SLS) tasks; static SLS and voluntary weight shift during SLS were used to determine ground reaction force. Comparison of the results with force plate data for straight walking in terms of the %RMSE, which indicates estimation accuracy of the models, showed that the results were about the same accurate as the models using force plates. In addition, we found possibility that voluntary weight shift during SLS can improve estimation accuracy of models.
UR - http://www.scopus.com/inward/record.url?scp=85015170517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015170517&partnerID=8YFLogxK
U2 - 10.1109/MFI.2016.7849475
DO - 10.1109/MFI.2016.7849475
M3 - Conference contribution
AN - SCOPUS:85015170517
SP - 109
EP - 113
BT - 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -