By Topic

A PCA-based technique for compensating the effect of sensor position changes in motion data

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
$33 $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)
Roya Haratian ; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK ; Chris Phillips ; Tijana Timotijevic

Failure to place markers/sensors accurately when motion capture the human body is probably the single greatest contributor to measurement variability in rehabilitation applications. In this paper, we study the effect of inadvertent changes in the position of sensors while evaluating similarities between similar actions in motion capturing. We then use a Principal Component Analysis (PCA) based technique followed by additional mechanisms to compensate for the effect of sensor position changes within the motion data. The collected data from our designed experiments show differences between similar actions with different marker placement. By applying signal processing, we show how these variations can be compensated for and so provide more accurate motion data.

Published in:

2012 6th IEEE International Conference Intelligent Systems

Date of Conference:

6-8 Sept. 2012