ArticleFrontiers in bioengineering and biotechnology2020
Drift-Free Foot Orientation Estimation in Running Using Wearable IMU.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Enhancing accuracy and convenience of golf swing tracking with a wrist-worn single inertial sensor.Scientific reports · 2024Article
- Predicting overstriding with wearable IMUs during treadmill and overground running.Scientific reports · 2024Article
- Foot orientation and trajectory variability in locomotion: Effects of real-world terrain.PloS one · 2024Article
- Automatic Body Segment and Side Recognition of an Inertial Measurement Unit Sensor during Gait.Sensors (Basel, Switzerland) · 2023Article
- Can inertial measurement unit sensors evaluate foot kinematics in drop foot patients using functional electrical stimulation?Frontiers in human neuroscience · 2023Article
- Estimation of horizontal running power using foot-worn inertial measurement units.Frontiers in bioengineering and biotechnology · 2023Article
- Drift-Free 3D Orientation and Displacement Estimation for Quasi-Cyclical Movements Using One Inertial Measurement Unit: Application to Running.Sensors (Basel, Switzerland) · 2022Article
- A Single Sacral-Mounted Inertial Measurement Unit to Estimate Peak Vertical Ground Reaction Force, Contact Time, and Flight Time in Running.Sensors (Basel, Switzerland) · 2022Article
- Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue.Frontiers in physiology · 2022Article
- Examination of a foot mounted IMU-based methodology for a running gait assessment.Frontiers in sports and active living · 2022Article
- Augmented Cooper test: Biomechanical contributions to endurance performance.Frontiers in sports and active living · 2022Article
- Comparison between Accelerometer and Gyroscope in Predicting Level-Ground Running Kinematics by Treadmill Running Kinematics Using a Single Wearable Sensor.Sensors (Basel, Switzerland) · 2021Article
- Classification of Cross-Country Ski Skating Sub-Technique Can Be Automated Using Carrier-Phase Differential GNSS Measurements of the Head's Position.Sensors (Basel, Switzerland) · 2021Article
- A Multivariate Polynomial Regression to Reconstruct Ground Contact and Flight Times Based on a Sine Wave Model for Vertical Ground Reaction Force and Measured Effective Timings.Frontiers in bioengineering and biotechnology · 2021Article
- Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model.Frontiers in sports and active living · 2021Article
- Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?Sensors (Basel, Switzerland) · 2020Article
- A Practical Sensor-Based Methodology for the Quantitative Assessment and Classification of Chronic Non Specific Low Back Patients (NSLBP) in Clinical Settings.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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