Human motion tracking based on complementary Kalman filter

Wang, ZB, Yang, L, Huang, ZP et al. (3 more authors) (2017) Human motion tracking based on complementary Kalman filter. In: 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017. 14th International Conference on Wearable and Implantable Body Sensor Networks, 09-12 May 2017, Eindhoven, Netherlands. IEEE , pp. 55-58. ISBN 9781509062447

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Copyright, Publisher and Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Estimation, Sensors, Gyroscopes, Kalman filters, Magnetometers, Covariance matrices, Accelerometers
Dates:
  • Published: 1 June 2017
  • Accepted: 11 April 2017
Institution: The University of Leeds
Depositing User: Symplectic Publications
Date Deposited: 11 Aug 2017 15:25
Last Modified: 16 Jan 2018 10:19
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/BSN.2017.7936006

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