ArticleSensors (Basel, Switzerland)2021
Using Accelerometer Data to Tune the Parameters of an Extended Kalman Filter for Optical Motion Capture: Preliminary Application to Gait Analysis.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Predicting patellar kinematics and contact forces after TKA: a simulation study on quadriceps malalignment.Arthroplasty (London, England) · 2026Article
- Deep-Learning-Based Recovery of Missing Optical Marker Trajectories in 3D Motion Capture Systems.Bioengineering (Basel, Switzerland) · 2024Article
- A Sensorized 3D-Printed Knee Test Rig for Preliminary Experimental Validation of Patellar Tracking and Contact Simulation.Sensors (Basel, Switzerland) · 2024Article
- Use of patellofemoral digital twins for patellar tracking and treatment prediction: comparison of 3D models and contact detection algorithms.Frontiers in bioengineering and biotechnology · 2024Article
- Flight Controller as a Low-Cost IMU Sensor for Human Motion Measurement.Sensors (Basel, Switzerland) · 2023Article
- Thermal Calibration of Triaxial Accelerometer for Tilt Measurement.Sensors (Basel, Switzerland) · 2023Article
- A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving.Sensors (Basel, Switzerland) · 2022Article
- Determination of the 3D Human Spine Posture from Wearable Inertial Sensors and a Multibody Model of the Spine.Sensors (Basel, Switzerland) · 2022Article
- Analysis of Gait Characteristics of Patients with Knee Arthritis Based on Human Posture Estimation.BioMed research international · 2022Article
- Editorial of Special Issue "Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans".Sensors (Basel, Switzerland) · 2021Article
- Extension of the Rigid-Constraint Method for the Heuristic Suboptimal Parameter Tuning to Ten Sensor Fusion Algorithms Using Inertial and Magnetic Sensing.Sensors (Basel, Switzerland) · 2021Article
- Lower Back Injury Prevention and Sensitization of Hip Hinge with Neutral Spine Using Wearable Sensors during Lifting Exercises.Sensors (Basel, Switzerland) · 2021Article
- Haptic Devices Based on Real-Time Dynamic Models of Multibody Systems.Sensors (Basel, Switzerland) · 2021Article
- Virtual Sensoring of Motion Using Pontryagin's Treatment of Hamiltonian Systems.Sensors (Basel, Switzerland) · 2021Article
- A fair and EMG-validated comparison of recruitment criteria, musculotendon models and muscle coordination strategies, for the inverse-dynamics based optimization of muscle forces during gait.Journal of neuroengineering and rehabilitation · 2021Article
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4 authors.
Funding
Abstract
Optical motion capture is currently the most popular method for acquiring motion data in biomechanical applications. However, it presents a number of problems that make the process difficult and inefficient, such as marker occlusions and unwanted reflections. In addition, the obtained trajectories must be numerically differentiated twice in time in order to get the accelerations. Since the trajectories are normally noisy, they need to be filtered first, and the selection of the optimal amount of filtering is not trivial. In this work, an extended Kalman filter (EKF) that manages marker occlusions and undesired reflections in a robust way is presented. A preliminary test with inertial measurement units (IMUs) is carried out to determine their local reference frames. Then, the gait analysis of a healthy subject is performed using optical markers and IMUs simultaneously. The filtering parameters used in the optical motion capture process are tuned in order to achieve good correlation between the obtained accelerations and those measured by the IMUs. The results show that the EKF provides a robust and efficient method for optical system-based motion analysis, and that the availability of accelerations measured by inertial sensors can be very helpful for the adjustment of the filters.
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