ORCID Profile
0000-0001-8358-9065
Current Organisations
University of Ulster
,
University of Ulster at Jordanstown
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Publisher: IEEE
Date: 12-2018
Publisher: IEEE
Date: 12-2018
Publisher: Springer International Publishing
Date: 2017
Publisher: Elsevier BV
Date: 11-2012
DOI: 10.1016/J.CMPB.2012.04.004
Abstract: This paper presents a software program (iGAIT) developed in MATLAB, for the analysis of gait patterns extracted from accelerometer recordings. iGAIT provides a user-friendly graphical interface to display and analyse gait acceleration data recorded by an accelerometer attached to the lower back of subjects. The core function of iGAIT is gait feature extraction, which can be used to derive 31 features from acceleration data, including 6 spatio-temporal features, 7 regularity and symmetry features, and 18 spectral features. Features extracted are summarised and displayed on screen, as well as an option to be stored in text files for further review or analysis if required. Another unique feature of iGAIT is that it provides interactive functionality allowing users to manually adjust the analysis process according to their requirements. The system has been tested under Window XP, Vista and Window 7 using three different types of accelerometer data. It is designed for analysis of accelerometer data recorded with s le frequencies ranging from 5 Hz to 200 Hz.
Publisher: IEEE
Date: 07-2013
Publisher: Springer Science and Business Media LLC
Date: 17-02-2010
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 11-2015
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Haiying Wang.