iGAIT: An interactive accelerometer based gait analysis system

Mingjing Yang, Huiru Zheng, Haiying Wang, Sally McClean, Dave Newell

Research output: Contribution to journalArticle

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 sample frequencies ranging from 5 Hz to 200 Hz.
LanguageEnglish
Pages715-723
JournalComputer Methods and Programs in Biomedicine
Volume108
Issue number2
DOIs
Publication statusPublished - 2012

Fingerprint

Gait analysis
Gait
Accelerometers
Computer systems
Software
Graphical user interfaces
MATLAB
Feature extraction
Display devices

Cite this

@article{e7860eb6d4c7475a885b93c0fd54e540,
title = "iGAIT: An interactive accelerometer based gait analysis system",
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 sample frequencies ranging from 5 Hz to 200 Hz.",
author = "Mingjing Yang and Huiru Zheng and Haiying Wang and Sally McClean and Dave Newell",
year = "2012",
doi = "10.1016/j.cmpb.2012.04.004",
language = "English",
volume = "108",
pages = "715--723",
number = "2",

}

iGAIT: An interactive accelerometer based gait analysis system. / Yang, Mingjing; Zheng, Huiru; Wang, Haiying; McClean, Sally; Newell, Dave.

Vol. 108, No. 2, 2012, p. 715-723.

Research output: Contribution to journalArticle

TY - JOUR

T1 - iGAIT: An interactive accelerometer based gait analysis system

AU - Yang, Mingjing

AU - Zheng, Huiru

AU - Wang, Haiying

AU - McClean, Sally

AU - Newell, Dave

PY - 2012

Y1 - 2012

N2 - 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 sample frequencies ranging from 5 Hz to 200 Hz.

AB - 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 sample frequencies ranging from 5 Hz to 200 Hz.

U2 - 10.1016/j.cmpb.2012.04.004

DO - 10.1016/j.cmpb.2012.04.004

M3 - Article

VL - 108

SP - 715

EP - 723

IS - 2

ER -