You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Intelligent Wireless Body Area Network System for Human Motion Analysis

Research group:


Publication Type:

Conference/Workshop Paper

Venue:

1st International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems

Publisher:

(IARIA) XPS


Abstract

Human motion analysis provides several important applications. Examples are fall risk assessment, sports biomechanics, physical activity monitoring and rehabilitation. This work in progress paper proposes an intelligent wireless body area network system for motion and gait symmetry analysis. A Bluetooth network with accelerometers, gyroscopes and in-shoe force sensing resistors gathers data and sends it to a web server after intelligent pre-processing and filtering. The system is flexible and adaptable for different use cases including combinations of gait analysis, gait symmetry and pressure measurements between foot and shoe.

Bibtex

@inproceedings{Hellstrom4129,
author = {Per Hellstr{\"o}m and Lennie Carl{\'e}n Eriksson and Jonatan Scharff Willners and Mia Folke and Martin Ekstr{\"o}m},
title = {Intelligent Wireless Body Area Network System for Human Motion Analysis},
isbn = {978-1-61208-446-6},
month = {June},
year = {2015},
booktitle = {1st International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems},
publisher = {(IARIA) XPS},
url = {http://www.es.mdh.se/publications/4129-}
}