Skip to main content

Wearable sensor based gait asymmetry visualization tool.

Anwary, A.R., Yu, H. and Vassallo, M., 2018. Wearable sensor based gait asymmetry visualization tool. In: AMCIS 2018 :Americas Conference on Information Systems 2018: Digital Disruption, 16-18 August 2018, New Orleans, LA.

Full text available as:

Wearable Sensor Based Gait Asymmetry Visualization Tool.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.



© 2018 Association for Information Systems. All rights reserved. Real time visualization of gait asymmetry can provide added value in rehabilitation, clinics and sports. Common approaches for the quantification of gait asymmetry give the numerical values of parameters such as symmetry index, symmetry ratio, symmetry angle etc. It may be difficult for users to understand those numerical values. In order to conveniently use quantitative gait asymmetry monitoring for users, an affordable visualization tool is useful to provide a facility for their use in clinic and at home. This paper investigates four approaches for monitoring gait asymmetry to provide automatic graphical visualizations of information about gait. The results show that affordable wearable Inertial Measurement Unit sensors can be used for objective gait asymmetry feature extraction without the requirement and expense of an elaborate laboratory setup. Our procedure significantly simplifies the monitoring protocols and opens possibilities for home based assessment and supports digital transformation strategies through the development of new technology.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:31379
Deposited By: Symplectic RT2
Deposited On:22 Oct 2018 15:08
Last Modified:14 Mar 2022 14:13


Downloads per month over past year

More statistics for this item...
Repository Staff Only -