Inertial Motion Capture Accuracy Improvement by Kalman Smoothing and Dynamic Networks

Localization-capable inertial motion capture algorithms rely on zero-velocity updates (ZUPT), usually as measurements in a Kalman filtering scheme, for position and attitude error control. As ZUPTs are only applicable during the static phases a link goes through, estimation errors grow during dynami...

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Bibliographic Details
Published in:	IEEE sensors journal Vol. 21; no. 3; pp. 3722 - 3729
Main Authors:	Razavi, Hamidreza, Salarieh, Hassan, Alasty, Aria
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Attitudes Biomechanics Error analysis Error reduction Estimation error Heuristic algorithms inertial sensor network Kalman filters Motion capture Optimization Parameter estimation Pelvis Position measurement Process parameters Quaternions Sensor fusion Sensors Smoothing Smoothing methods unscented smoothing Walking
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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