Abstract
Movement disorders forbid many people from enjoying their daily lives. As with other diseases, diagnosis and analysis are key issues in treating such disorders. Computer vision-based motion capture systems are helpful tools for accomplishing this task. However Classical motion tracking systems suffer from several limitations. First they are not cost effective. Second these systems cannot detect minute motions accurately. Finally they are spatially limited to the lab environment where the system is installed. In this project, we propose an innovative solution to solve the above-mentioned issues. Mounting the camera on human body, we build a convenient, low cost motion capture system that can be used by the patient while practicing daily-life activities. We refer to this system as active motion capture, which is not confined to the lab environment. Real-time experiments in our lab revealed the robustness and accuracy of the system.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kondori, F.A., Liu, L. (2013). 3D Active Human Motion Estimation for Biomedical Applications. In: Long, M. (eds) World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China. IFMBE Proceedings, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29305-4_266
Download citation
DOI: https://doi.org/10.1007/978-3-642-29305-4_266
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29304-7
Online ISBN: 978-3-642-29305-4
eBook Packages: EngineeringEngineering (R0)