2012
DOI: 10.1109/tim.2012.2187360
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Three-Axial Accelerometer Calibration Using Kalman Filter Covariance Matrix for Online Estimation of Optimal Sensor Orientation

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Cited by 80 publications
(46 citation statements)
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“…Data are first processed by applying the unscented Kalman filter (UKF), 15 which was implemented similar as in Beravs et al 5 No calibration step is needed to orient the IMUs, as consistent placement is achieved by proper labelling of IMU sensor covers. The evaluated trunk IMU orientation is then expressed relative to the gym IMU coordinate system.…”
Section: Rolling Range-of-motion (Rom)mentioning
confidence: 99%
“…Data are first processed by applying the unscented Kalman filter (UKF), 15 which was implemented similar as in Beravs et al 5 No calibration step is needed to orient the IMUs, as consistent placement is achieved by proper labelling of IMU sensor covers. The evaluated trunk IMU orientation is then expressed relative to the gym IMU coordinate system.…”
Section: Rolling Range-of-motion (Rom)mentioning
confidence: 99%
“…They can be used to capture the camera motion precisely. Based on the captured motion information, navigation [20], orientation determination [4], and human motion tracking [47] can be implemented. Also, deblurring can be performed based on the captured camera motion, in order to remove image blur caused by camera motion [15].…”
Section: Introductionmentioning
confidence: 99%
“…There are a number of efforts [10] - [16] in the research area of sensors, especially tri-axial MEMS accelerometer. Those are related to human movement application.…”
Section: Introductionmentioning
confidence: 99%