Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors
By Daniel Roetenberg, Henk Luinge, Per J. Slycke. 2009
963 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ffd2416057dc96d69ab6ed047910606f270039be
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Citations in the corpus
- Using Inertial Sensors for Position and Orientation Estimation (2017, unknown): “ where the actor Seth MacFarlane wears sensors on his body that measure his movements to animate the bear Ted. Inertial motion capture is successfully used in a large number of applications, see e.g. [121, 70, 157]. In [73], we present an algorithm for inertial motion capture which solves a smoothin”
- IMU-Based Joint Angle Measurement for Gait Analysis (2014, methodology): “Finally, the protocol used in [19] solves a closed kinematic chain to refine joint axis and position coordinates that have been obtained from a combination of calibration postures, predefined motion and manual measurements of body dimensions.”
- Deep 3D human pose estimation: A review (2021, unknown): “The XSens IMUS system (Roetenberg et al., 2009) uses 13 IMU sensors on key body parts including head, upper/lower back, upper/lower limbs, and feet.”
- Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics (2013, methodology): “This system uses a specific biomechanical model and proprietary algorithms to estimate 3D joint kinematics (Roetenberg et al 2009).”
- Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors (2017, methodology): “Inertial Measurement Units (IMUs) [2, 25] have been introduced”
- Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion (2017, methodology): “Year Body Application Target Focus Sensors Kinematics & Constraints Parameters Sensor Fusion Technique Calibration Validation Measure RMSE Correlation Notes [51] 2016 upper limbs - link ori link pos method 3 acc, 3 gyro, 3 mag kinematic chain rot mat quat ori free seg KF params link len sens pos sen”
- Capturing the human figure through a wall (2015, methodology): “…methods place various types of sensors on the human body – including inertial, infrared, RF, acoustic, or ultrasonic sensors – and capture the human skeleton by tracking these various markers, e.g., [Roetenberg et al. 2009; Vlasic et al. 2007; Wang et al. 2014a; Raskar et al. 2007; VIC ; Zeb ].”