Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

3D Gait Analysis Based on UWB Wireless Body Area Networks

Authors
Fucheng Cao, Xin Li, Xilu Zhao
Corresponding Author
Fucheng Cao
Available Online March 2014.
DOI
10.2991/mce-14.2014.128How to use a DOI?
Keywords
Gait Analysis; Ultra-wideband; Wireless Body Area Networks; TOA; WSN
Abstract

During the rehabilitation training, the methods of gait analysis and planning are very important. We must consider the simplicity of implementation and the validity of method used. Combined with ultra-wideband wireless body area network, gyroscopes, acceleration sensors and TOA positioning technology, we proposed a gait analysis method that is also effective in three-dimensional space. After summarizing the existing methods of gait analysis, we point out the shortcomings of commonly method based video motion capture and the advantages of ultra-wideband wireless sensor networks. Then, we propose a method for three dimensional gait analysis within UWB wireless body area networks. The acceleration and angular velocity data of each sensor unit were measured during level walking. Based on the positioning algorithm, the location, acceleration and angular velocity data of each node can be calculated during level walking by the UWB wireless sensor networks. Define global coordinate and local coordinate and combine, we are able to establish lower limb gait kinematic equations.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
10.2991/mce-14.2014.128
ISSN
1951-6851
DOI
10.2991/mce-14.2014.128How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fucheng Cao
AU  - Xin Li
AU  - Xilu Zhao
PY  - 2014/03
DA  - 2014/03
TI  - 3D Gait Analysis Based on UWB Wireless Body Area Networks
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 575
EP  - 579
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.128
DO  - 10.2991/mce-14.2014.128
ID  - Cao2014/03
ER  -