Exploratory Gait Analysis using Wearable Technology

RJ Davies; Paul McCullagh; Huiru Zheng; Joan Condell

Exploratory Gait Analysis using Wearable Technology

RJ Davies
, Paul McCullagh
, Huiru Zheng
, Joan Condell

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

24 Downloads (Pure)

Abstract

Gait analysis is a rapidly expanding and evolving research area with application to biomechanics and rehabilitation. Current wearable technology that can be used to collect gait information is becoming more accessible in terms of cost and usability compared to lab counterparts which can be expensive and re- quire training to setup and use. This paper provides an exploratory analysis of knee angle versus angular velocity of the lower leg for six healthy participants for at four walking speeds (1.8 km/h, 2.7 km/h, 4.5 km/h, 5.4 km/h) on a treadmill and walking over the ground at 3.9 km, using the Xsens Inertial Measurement Unit. These phase portraits provide a rich data source for qualitative comparison. In future objective gait analysis based on suggested gait parameters can aid with rehabilitation of dysfunctional gait.

Original language	English
Title of host publication	Proceedings of the 6th Collaborative European Research Conference (CERC 2020)
Editors	Haithem Afli, Udo Bleimann, Dirk Burkhardt, Robert Loew, Stefanie Regier, Ingo Stengel, Haiying Wang, Huiru Zheng
Place of Publication	Belfast
Publisher	Collaborative European Research Conference
Pages	335-345
Number of pages	11
Volume	1
Edition	2815
Publication status	Published (in print/issue) - 20 Feb 2021
Event	6th Collaborative European Research Conference - Belfast, United Kingdom Duration: 10 Sept 2020 → 11 Sept 2020 https://ceur-ws.org/Vol-2815/

Publication series

Name
ISSN (Electronic)	1613-0073

Conference

Conference	6th Collaborative European Research Conference
Abbreviated title	CERC2020
Country/Territory	United Kingdom
City	Belfast
Period	10/09/20 → 11/09/20
Internet address	https://ceur-ws.org/Vol-2815/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

gait analysis
wearable technology
inertial motion capture
accelerometer
Xsens

Access to Document

CERC2020_paper21Final published version, 973 KBLicence: CC BY

http://ceur-ws.org/Vol-2815/CERC2020_paper21.pdfLicence: CC BY

Cite this

Davies, RJ., McCullagh, P., Zheng, H., & Condell, J. (2021). Exploratory Gait Analysis using Wearable Technology. In H. Afli, U. Bleimann, D. Burkhardt, R. Loew, S. Regier, I. Stengel, H. Wang, & H. Zheng (Eds.), Proceedings of the 6th Collaborative European Research Conference (CERC 2020) (2815 ed., Vol. 1, pp. 335-345). Collaborative European Research Conference. http://ceur-ws.org/Vol-2815/CERC2020_paper21.pdf

Davies, RJ ; McCullagh, Paul ; Zheng, Huiru et al. / Exploratory Gait Analysis using Wearable Technology. Proceedings of the 6th Collaborative European Research Conference (CERC 2020). editor / Haithem Afli ; Udo Bleimann ; Dirk Burkhardt ; Robert Loew ; Stefanie Regier ; Ingo Stengel ; Haiying Wang ; Huiru Zheng. Vol. 1 2815. ed. Belfast : Collaborative European Research Conference, 2021. pp. 335-345

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title = "Exploratory Gait Analysis using Wearable Technology",

abstract = "Gait analysis is a rapidly expanding and evolving research area with application to biomechanics and rehabilitation. Current wearable technology that can be used to collect gait information is becoming more accessible in terms of cost and usability compared to lab counterparts which can be expensive and re- quire training to setup and use. This paper provides an exploratory analysis of knee angle versus angular velocity of the lower leg for six healthy participants for at four walking speeds (1.8 km/h, 2.7 km/h, 4.5 km/h, 5.4 km/h) on a treadmill and walking over the ground at 3.9 km, using the Xsens Inertial Measurement Unit. These phase portraits provide a rich data source for qualitative comparison. In future objective gait analysis based on suggested gait parameters can aid with rehabilitation of dysfunctional gait.",

keywords = "gait analysis, wearable technology, inertial motion capture, accelerometer, Xsens",

author = "RJ Davies and Paul McCullagh and Huiru Zheng and Joan Condell",

year = "2021",

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language = "English",

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publisher = "Collaborative European Research Conference",

pages = "335--345",

editor = "Haithem Afli and Udo Bleimann and Dirk Burkhardt and Robert Loew and Stefanie Regier and Ingo Stengel and Haiying Wang and Huiru Zheng",

booktitle = "Proceedings of the 6th Collaborative European Research Conference (CERC 2020)",

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Davies, RJ, McCullagh, P, Zheng, H & Condell, J 2021, Exploratory Gait Analysis using Wearable Technology. in H Afli, U Bleimann, D Burkhardt, R Loew, S Regier, I Stengel, H Wang & H Zheng (eds), Proceedings of the 6th Collaborative European Research Conference (CERC 2020). 2815 edn, vol. 1, Collaborative European Research Conference, Belfast, pp. 335-345, 6th Collaborative European Research Conference, Belfast, United Kingdom, 10/09/20. <http://ceur-ws.org/Vol-2815/CERC2020_paper21.pdf>

Exploratory Gait Analysis using Wearable Technology. / Davies, RJ; McCullagh, Paul; Zheng, Huiru et al.
Proceedings of the 6th Collaborative European Research Conference (CERC 2020). ed. / Haithem Afli; Udo Bleimann; Dirk Burkhardt; Robert Loew; Stefanie Regier; Ingo Stengel; Haiying Wang; Huiru Zheng. Vol. 1 2815. ed. Belfast: Collaborative European Research Conference, 2021. p. 335-345.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Exploratory Gait Analysis using Wearable Technology

AU - Davies, RJ

AU - McCullagh, Paul

AU - Zheng, Huiru

AU - Condell, Joan

PY - 2021/2/20

Y1 - 2021/2/20

N2 - Gait analysis is a rapidly expanding and evolving research area with application to biomechanics and rehabilitation. Current wearable technology that can be used to collect gait information is becoming more accessible in terms of cost and usability compared to lab counterparts which can be expensive and re- quire training to setup and use. This paper provides an exploratory analysis of knee angle versus angular velocity of the lower leg for six healthy participants for at four walking speeds (1.8 km/h, 2.7 km/h, 4.5 km/h, 5.4 km/h) on a treadmill and walking over the ground at 3.9 km, using the Xsens Inertial Measurement Unit. These phase portraits provide a rich data source for qualitative comparison. In future objective gait analysis based on suggested gait parameters can aid with rehabilitation of dysfunctional gait.

AB - Gait analysis is a rapidly expanding and evolving research area with application to biomechanics and rehabilitation. Current wearable technology that can be used to collect gait information is becoming more accessible in terms of cost and usability compared to lab counterparts which can be expensive and re- quire training to setup and use. This paper provides an exploratory analysis of knee angle versus angular velocity of the lower leg for six healthy participants for at four walking speeds (1.8 km/h, 2.7 km/h, 4.5 km/h, 5.4 km/h) on a treadmill and walking over the ground at 3.9 km, using the Xsens Inertial Measurement Unit. These phase portraits provide a rich data source for qualitative comparison. In future objective gait analysis based on suggested gait parameters can aid with rehabilitation of dysfunctional gait.

KW - gait analysis

KW - wearable technology

KW - inertial motion capture

KW - accelerometer

KW - Xsens

M3 - Conference contribution

VL - 1

SP - 335

EP - 345

BT - Proceedings of the 6th Collaborative European Research Conference (CERC 2020)

A2 - Afli, Haithem

A2 - Bleimann, Udo

A2 - Burkhardt, Dirk

A2 - Loew, Robert

A2 - Regier, Stefanie

A2 - Stengel, Ingo

A2 - Wang, Haiying

A2 - Zheng, Huiru

PB - Collaborative European Research Conference

CY - Belfast

T2 - 6th Collaborative European Research Conference

Y2 - 10 September 2020 through 11 September 2020

ER -

Exploratory Gait Analysis using Wearable Technology

Abstract

Publication series

Conference

UN SDGs

Keywords

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