Effects of Data Augmentation on the Nine-Axis IMU-Based Orientation Estimation Accuracy of a Recurrent Neural Network. [PDF]
Sensors (Basel), 2023 The nine-axis inertial and measurement unit (IMU)-based three-dimensional (3D) orientation estimation is a fundamental part of inertial motion capture.
Choi JS, Lee JK.
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Influence of Sampling Rate on Wearable IMU Orientation Estimation Accuracy for Human Movement Analysis. [PDF]
Sensors (Basel)Wearable inertial measurement units (IMUs) have been widely used in human movement analysis outside the laboratory. However, the IMU-based orientation estimation remains challenging, particularly in scenarios involving relatively fast movements ...
Fan B +6 more
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Time and Frequency Domain Analysis of IMU-Based Orientation Estimation Algorithms with Comparison to Robotic Arm Orientation as Reference. [PDF]
Sensors (Basel)This work focuses on time and frequency domain analyses of IMU-based orientation estimation algorithms, including indirect Kalman (IKF), Madgwick (MF), and complementary (CF) filters.
Sultan R, Greiser S.
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Probabilistic Pose Estimation From Multiple Hypotheses
IEEE Access, 2023 Pose estimation assesses the 6D pose of one or many objects in a scene. Considerable attention has been dedicated to the advancement of pose estimation algorithms capable of identifying the orientation of multiple objects within a scene in cases where ...
Omar Del-Tejo-Catala +5 more
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Machine Learning to Improve Orientation Estimation in Sports Situations Challenging for Inertial Sensor Use. [PDF]
Front Sports Act Living, 2021 In sports, inertial measurement units are often used to measure the orientation of human body segments. A Madgwick (MW) filter can be used to obtain accurate inertial measurement unit (IMU) orientation estimates.
van Dijk MP +4 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Accurate shoulder joint angle estimation is crucial for analyzing joint kinematics and kinetics across a spectrum of movement applications including in athletic performance evaluation, injury prevention, and rehabilitation.
Kezhe Zhu +4 more
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Sensors, 2023 In this paper, we present the FIU MARG Dataset (FIUMARGDB) of signals from the tri-axial accelerometer, gyroscope, and magnetometer contained in a low-cost miniature magnetic–angular rate–gravity (MARG) sensor module (also known as magnetic inertial ...
Pontakorn Sonchan +4 more
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Analysis of the Accuracy of Ten Algorithms for Orientation Estimation Using Inertial and Magnetic Sensing under Optimal Conditions: One Size Does Not Fit All. [PDF]
Sensors (Basel), 2021 The orientation of a magneto and inertial measurement unit (MIMU) is estimated by means of sensor fusion algorithms (SFAs) thus enabling human motion tracking. However, despite several SFAs implementations proposed over the last decades, there is still a
Caruso M +6 more
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How Magnetic Disturbance Influences the Attitude and Heading in Magnetic and Inertial Sensor-Based Orientation Estimation. [PDF]
Sensors (Basel), 2017 With the advancements in micro-electromechanical systems (MEMS) technologies, magnetic and inertial sensors are becoming more and more accurate, lightweight, smaller in size as well as low-cost, which in turn boosts their applications in human movement ...
Fan B, Li Q, Liu T.
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Drones, 2022 Most of the recent research on distributed formation control of unmanned aerial vehicle (UAV) swarms is founded on position, distance, and displacement-based approaches; however, a very promising approach, i.e., bearing-based formation control, is still ...
Muhammad Baber Sial +7 more
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