Abstract
Inertial measurement units (IMUs) are commonly
used for measuring runners outside the lab, but current IMU-based motion capture solutions require a large number of sensors. Therefore, we propose an AI-driven inverse dynamics approach that requires three IMUs (placed on pelvis and lower legs) and pressure insoles to estimate lower-body kinematics and joint reaction moments during running. These joint reaction moments could give insight in the muscle contribution in joint loading, such as tibial bone loading. Results show good agreement with the reference for ankle reaction moments, while knee reaction moments have larger errors. The proposed method shows good potential, but better estimation of more proximal joint kinematics/kinetics is required in combination with measuring shear forces.
used for measuring runners outside the lab, but current IMU-based motion capture solutions require a large number of sensors. Therefore, we propose an AI-driven inverse dynamics approach that requires three IMUs (placed on pelvis and lower legs) and pressure insoles to estimate lower-body kinematics and joint reaction moments during running. These joint reaction moments could give insight in the muscle contribution in joint loading, such as tibial bone loading. Results show good agreement with the reference for ankle reaction moments, while knee reaction moments have larger errors. The proposed method shows good potential, but better estimation of more proximal joint kinematics/kinetics is required in combination with measuring shear forces.
| Original language | English |
|---|---|
| Title of host publication | Body Sensor Networks 2023 |
| Subtitle of host publication | Sensor and Systems for Digital Health |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| ISBN (Electronic) | 979-8-3503-3841-6 |
| ISBN (Print) | 979-8-3503-1198-3 |
| DOIs | |
| Publication status | Published - 1 Dec 2023 |
| Event | 19th International Conference on Body Sensor Networks – Sensors and Systems for Digital Health, IEEE BSN 2023 - Boston, United States Duration: 9 Oct 2023 → 11 Oct 2023 Conference number: 19 |
Publication series
| Name | IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) |
|---|---|
| Publisher | IEEE |
| Number | 19 |
| Volume | 2023 |
| ISSN (Print) | 2376-8886 |
| ISSN (Electronic) | 2376-8894 |
Conference
| Conference | 19th International Conference on Body Sensor Networks – Sensors and Systems for Digital Health, IEEE BSN 2023 |
|---|---|
| Abbreviated title | IEEE BSN 2023 |
| Country/Territory | United States |
| City | Boston |
| Period | 9/10/23 → 11/10/23 |
Keywords
- Machine Learning (ML)
- Inverse dynamics
- Running
- Ambulatory movement analysis
- Inertial measurement unit (IMU)
- 2024 OA procedure