Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation
By Daniel Roetenberg, Henk Luinge, Chris T. M. Baten, Peter H. Veltink. IEEE transactions on neural systems and rehabilitation engineering, 2005
601 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8556e21edce96a9ebeae5d3a0e6539f0e7c35090
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Angelo Maria Sabatini
- Sebastian O. H. Madgwick
- Per J. Slycke
- Didier Stricker
- Emanuele Ruffaldi
- Alessandro Filippeschi
- Norbert Schmitz
- Gabriele Bleser
In Electrical and Electronic Engineering
- Angelo Maria Sabatini
- Sebastian O. H. Madgwick
- Per J. Slycke
- Daniel Roetenberg
- Ravi Vaidyanathan
- Andrew J. L. Harrison
- Henk Luinge
- Didier Stricker
Citations in the corpus
- Estimation of IMU and MARG orientation using a gradient descent algorithm (2011, background): “They can be complicated to implement which is reflected by the numerous solutions seen in the subject literature [2], [10], [11], [12], [19], [20], [21], [22], [23].”
- Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking (2006, background): “This is an active area of research by the authors and others [25].”
- An efficient orientation filter for inertial and inertial / magnetic sensor arrays (2010, background): “They can be complicated to implement which is reflected by the numerous solutions seen in the subject literature [3, 4, 15, 16, 17, 24, 25, 26, 27, 28, 29, 30, 31, 32].”
- Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors (2009, methodology): “In sensor fusion scheme, this disturbance is also estimated each time step as part of the process, similar to the approach in [20].”
- Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing (2006, methodology): “The effect of their superposition to the sensed earth’s magnetic field is to bias the mag-netometer output [16].”
- Wearable Sensors and Systems (2010, background): “Using this technology, researchers and clinicians can currently monitor subjects’ movement patterns and possibly even reconstruct movement trajectories [14].”
- Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing (2007, methodology): “accelerometers provide a measure for inclination, the magnetometers are used as a compass to provide a reference in the horizontal plane and the gyroscopes measure fast changes in orientation by integrating angular velocities [22].”
- Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion (2017, background): “[84] 2005 attitude link ori mag comp 1 acc, 1 gyro, 1 mag rot mat KF params KF, lin acc err, mag err static 1, box, 1, OMC ori err sta ori err dyn ori err sta 0.”
- An Introduction to Inertial and Visual Sensing (2007, background): “In fact, there is some overlap and complementarity between the two sensors, with different noise characteristics that can be exploited to provide a useful rotation absolute reference as in Roetenberg et al. (2003, 2005).”
- Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing (2011, background): “In other terms, the horizontal reference is built and maintained by the EKF itself (auto-calibration) [21,22].”
- Complementary Observer for Body Segments Motion Capturing by Inertial and Magnetic Sensors (2014, unknown): “Heading errors due to magnetic field disturbance can be effectively rejected by an adequate modelbased sensor fusion [14].”
- Using Inertial Sensors for Position and Orientation Estimation (2017, unknown): “For orientation estimation, they are often used in combination with magnetometers, which measure the direction of the magnetic field [124, 120].”