Effects of Data Augmentation on the Nine-Axis IMU-Based Orientation Estimation Accuracy of a Recurrent Neural Network [PDF]
Sensors, 2023 The nine-axis inertial and measurement unit (IMU)-based three-dimensional (3D) orientation estimation is a fundamental part of inertial motion capture.
Ji Seok Choi, Jung Keun Lee
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Cyclist Orientation Estimation Using LiDAR Data [PDF]
Sensors, 2023 It is crucial for an autonomous vehicle to predict cyclist behavior before decision-making. When a cyclist is on real traffic roads, his or her body orientation indicates the current moving directions, and his or her head orientation indicates his or her
Hyoungwon Chang +4 more
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Influence of Sampling Rate on Wearable IMU Orientation Estimation Accuracy for Human Movement Analysis [PDF]
SensorsWearable 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 ...
Bingfei Fan +6 more
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BROAD—A Benchmark for Robust Inertial Orientation Estimation
Data, 2021 Inertial measurement units (IMUs) enable orientation, velocity, and position estimation in several application domains ranging from robotics and autonomous vehicles to human motion capture and rehabilitation engineering.
Daniel Laidig +3 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]
SensorsThis work focuses on time and frequency domain analyses of IMU-based orientation estimation algorithms, including indirect Kalman (IKF), Madgwick (MF), and complementary (CF) filters.
Ruslan Sultan, Steffen Greiser
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Machine Learning to Improve Orientation Estimation in Sports Situations Challenging for Inertial Sensor Use [PDF]
Frontiers in Sports and Active 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.
Marit P. van Dijk +5 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, 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
Marco Caruso +6 more
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An Adaptive Orientation Estimation Method for Magnetic and Inertial Sensors in the Presence of Magnetic Disturbances [PDF]
Sensors, 2017 Magnetic and inertial sensors have been widely used to estimate the orientation of human segments due to their low cost, compact size and light weight. However, the accuracy of the estimated orientation is easily affected by external factors, especially ...
Bingfei Fan +3 more
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How Magnetic Disturbance Influences the Attitude and Heading in Magnetic and Inertial Sensor-Based Orientation Estimation [PDF]
Sensors, 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 ...
Bingfei Fan, Qingguo Li, Tao Liu
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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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