Cart (Loading....) | Create Account
Close category search window
 

Study on adaptive Kalman filtering algorithms in human movement tracking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yi Zhang ; Sch. of Autom., Chongqing Univ. of Posts & Telecommun., China ; Huosheng Hu ; Huiyu Zhou

During the rehabilitation process, the movements of the post-stroke patients need to be localized and learned so that incorrect movements can be instantly identified and modified. This is vital and necessary for patients to recover and improve their mobility toward normal life. This paper presents an adaptive Kalman filter algorithm for position estimation of patients' movements. In order to improve the performance of dynamic performance of the filter, a modified adaptive filtering algorithm is investigated. The feasibility and efficiency of the proposed adaptive algorithm is verified by simulation results.

Published in:

Information Acquisition, 2005 IEEE International Conference on

Date of Conference:

27 June-3 July 2005

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.