Drift-Free Foot Orientation Estimation in Running Using Wearable IMU
This study aimed to introduce and validate a new method to estimate and correct the orientation drift measured from foot-worn inertial sensors. A modified strap-down integration (MSDI) was proposed to decrease the orientation drift, which, in turn, was further compensated by estimation of the joint...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-02-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fbioe.2020.00065/full |
| _version_ | 1828392925707370496 |
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| author | Mathieu Falbriard Frédéric Meyer Benoît Mariani Grégoire P. Millet Kamiar Aminian |
| author_facet | Mathieu Falbriard Frédéric Meyer Benoît Mariani Grégoire P. Millet Kamiar Aminian |
| author_sort | Mathieu Falbriard |
| collection | DOAJ |
| description | This study aimed to introduce and validate a new method to estimate and correct the orientation drift measured from foot-worn inertial sensors. A modified strap-down integration (MSDI) was proposed to decrease the orientation drift, which, in turn, was further compensated by estimation of the joint center acceleration (JCA) of a two-segment model of the foot. This method was designed to fit the different foot strike patterns observed in running and was validated against an optical motion-tracking system during level treadmill running at 8, 12, and 16 km/h. The sagittal and frontal plane angles obtained from the inertial sensors and the motion tracking system were compared at different moments of the ground contact phase. The results obtained from 26 runners showed that the foot orientation at mean stance was estimated with an accuracy (inter-trial median ± IQR) of 0.4 ± 3.8° and a precision (inter-trial precision median ± IQR) of 3.0 ± 1.8°. The orientation of the foot shortly before initial contact (IC) was estimated with an accuracy of 2.0 ± 5.9° and a precision of 1.6 ± 1.1°; which is more accurate than commonly used zero-velocity update methods derived from gait analysis and not explicitly designed for running. Finally, the study presented the effect initial and terminal contact (TC) detection errors have on the orientation parameters reported. |
| first_indexed | 2024-12-10T07:29:58Z |
| format | Article |
| id | doaj.art-b082e2970f3d4fabbeeb436b68407c2e |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-10T07:29:58Z |
| publishDate | 2020-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-b082e2970f3d4fabbeeb436b68407c2e2022-12-22T01:57:36ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852020-02-01810.3389/fbioe.2020.00065510736Drift-Free Foot Orientation Estimation in Running Using Wearable IMUMathieu Falbriard0Frédéric Meyer1Benoît Mariani2Grégoire P. Millet3Kamiar Aminian4Laboratory of Movement Analysis and Measurement, EPFL, Lausanne, SwitzerlandInstitute of Sport Sciences, University of Lausanne, Lausanne, SwitzerlandGait Up S.A., Lausanne, SwitzerlandInstitute of Sport Sciences, University of Lausanne, Lausanne, SwitzerlandLaboratory of Movement Analysis and Measurement, EPFL, Lausanne, SwitzerlandThis study aimed to introduce and validate a new method to estimate and correct the orientation drift measured from foot-worn inertial sensors. A modified strap-down integration (MSDI) was proposed to decrease the orientation drift, which, in turn, was further compensated by estimation of the joint center acceleration (JCA) of a two-segment model of the foot. This method was designed to fit the different foot strike patterns observed in running and was validated against an optical motion-tracking system during level treadmill running at 8, 12, and 16 km/h. The sagittal and frontal plane angles obtained from the inertial sensors and the motion tracking system were compared at different moments of the ground contact phase. The results obtained from 26 runners showed that the foot orientation at mean stance was estimated with an accuracy (inter-trial median ± IQR) of 0.4 ± 3.8° and a precision (inter-trial precision median ± IQR) of 3.0 ± 1.8°. The orientation of the foot shortly before initial contact (IC) was estimated with an accuracy of 2.0 ± 5.9° and a precision of 1.6 ± 1.1°; which is more accurate than commonly used zero-velocity update methods derived from gait analysis and not explicitly designed for running. Finally, the study presented the effect initial and terminal contact (TC) detection errors have on the orientation parameters reported.https://www.frontiersin.org/article/10.3389/fbioe.2020.00065/fullrunninginertial measurement unitsvalidation studyorientationdriftangles |
| spellingShingle | Mathieu Falbriard Frédéric Meyer Benoît Mariani Grégoire P. Millet Kamiar Aminian Drift-Free Foot Orientation Estimation in Running Using Wearable IMU Frontiers in Bioengineering and Biotechnology running inertial measurement units validation study orientation drift angles |
| title | Drift-Free Foot Orientation Estimation in Running Using Wearable IMU |
| title_full | Drift-Free Foot Orientation Estimation in Running Using Wearable IMU |
| title_fullStr | Drift-Free Foot Orientation Estimation in Running Using Wearable IMU |
| title_full_unstemmed | Drift-Free Foot Orientation Estimation in Running Using Wearable IMU |
| title_short | Drift-Free Foot Orientation Estimation in Running Using Wearable IMU |
| title_sort | drift free foot orientation estimation in running using wearable imu |
| topic | running inertial measurement units validation study orientation drift angles |
| url | https://www.frontiersin.org/article/10.3389/fbioe.2020.00065/full |
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