Gait analysis data visualisation in virtual environment (GADV/VE): Science and Information Conference 2014

Salsabeel F. M. Alfalah; Warren Chan; Soheeb Khan; Jannat Falah; Tasneem Alfalah; David K. Harrison; Vassilis Charissis

doi:10.1109/SAI.2014.6918270

Gait analysis data visualisation in virtual environment (GADV/VE): Science and Information Conference 2014

Salsabeel F. M. Alfalah, Warren Chan, Soheeb Khan, Jannat Falah, Tasneem Alfalah, David K. Harrison, Vassilis Charissis

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

3 Citations (Scopus)

Abstract

A prototype virtual reality application has been developed as a diagnostic tool to aid visualisation of gait analysis and improve accessibility for health professionals who lack the technical experience to operate motion capture systems. The proposed system will take motion capture data stored in the Coordinated 3 Dimensional (C3D) file format and present the data as a visualisation in a three dimensional (3D) virtual environment. This article is presenting the design and development considerations, the evaluation results based on usability traits of this system and the user acceptance of the technology as a viable diagnostic tool. A virtual reality application was developed for the purposes of visualising motion captured data for gait analysis in a virtual environment. Twenty users with relevant experience in the field of gait analysis participated in user trials to gauge user reaction and acceptance of the proposed system. An adapted version of the Technology Acceptance Model (TAM) framework was used to analyse results. All trials were conducted in an in-house virtual reality and simulation laboratory. The intention of health professionals to use the system was explored based on the TAM, with added constructs that concern virtual environments: Technical aspect (TA), Orientation (Orient.), Physical and emotional (PhE), and Availability of hardware in-house (AHWH). Based on the TAM and extended factors the findings suggest that the system was perceived as useful and health professionals' intentions to use the GADV/VE system were strongly affected by technical aspects and availability of hardware in-house and moderately affected by orientation and physical and emotional side effects. Results from the output of the TAM framework show that the virtual reality application for gait analysis would be a valuable tool in the diagnostic stage of gait analysis and was positively received by health professionals in the relevant field.

Original language	English
Title of host publication	2014 Science and Information Conference
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	10
ISBN (Print)	9780989319317
DOIs	https://doi.org/10.1109/SAI.2014.6918270
Publication status	Published - 9 Oct 2014

Keywords

HCI
gait analysis
virtual reality
technology acceptance model
data visualisation

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10.1109/SAI.2014.6918270

Cite this

@inproceedings{ea786df490ae47e8959a8cfc2e218790,

title = "Gait analysis data visualisation in virtual environment (GADV/VE): Science and Information Conference 2014",

abstract = "A prototype virtual reality application has been developed as a diagnostic tool to aid visualisation of gait analysis and improve accessibility for health professionals who lack the technical experience to operate motion capture systems. The proposed system will take motion capture data stored in the Coordinated 3 Dimensional (C3D) file format and present the data as a visualisation in a three dimensional (3D) virtual environment. This article is presenting the design and development considerations, the evaluation results based on usability traits of this system and the user acceptance of the technology as a viable diagnostic tool. A virtual reality application was developed for the purposes of visualising motion captured data for gait analysis in a virtual environment. Twenty users with relevant experience in the field of gait analysis participated in user trials to gauge user reaction and acceptance of the proposed system. An adapted version of the Technology Acceptance Model (TAM) framework was used to analyse results. All trials were conducted in an in-house virtual reality and simulation laboratory. The intention of health professionals to use the system was explored based on the TAM, with added constructs that concern virtual environments: Technical aspect (TA), Orientation (Orient.), Physical and emotional (PhE), and Availability of hardware in-house (AHWH). Based on the TAM and extended factors the findings suggest that the system was perceived as useful and health professionals' intentions to use the GADV/VE system were strongly affected by technical aspects and availability of hardware in-house and moderately affected by orientation and physical and emotional side effects. Results from the output of the TAM framework show that the virtual reality application for gait analysis would be a valuable tool in the diagnostic stage of gait analysis and was positively received by health professionals in the relevant field.",

keywords = "HCI, gait analysis, virtual reality, technology acceptance model, data visualisation",

author = "Alfalah, {Salsabeel F. M.} and Warren Chan and Soheeb Khan and Jannat Falah and Tasneem Alfalah and Harrison, {David K.} and Vassilis Charissis",

note = "Template changed to conference contribution 2/02/2017",

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doi = "10.1109/SAI.2014.6918270",

language = "English",

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AU - Alfalah, Salsabeel F. M.

AU - Chan, Warren

AU - Khan, Soheeb

AU - Falah, Jannat

AU - Alfalah, Tasneem

AU - Harrison, David K.

AU - Charissis, Vassilis

N1 - Template changed to conference contribution 2/02/2017

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N2 - A prototype virtual reality application has been developed as a diagnostic tool to aid visualisation of gait analysis and improve accessibility for health professionals who lack the technical experience to operate motion capture systems. The proposed system will take motion capture data stored in the Coordinated 3 Dimensional (C3D) file format and present the data as a visualisation in a three dimensional (3D) virtual environment. This article is presenting the design and development considerations, the evaluation results based on usability traits of this system and the user acceptance of the technology as a viable diagnostic tool. A virtual reality application was developed for the purposes of visualising motion captured data for gait analysis in a virtual environment. Twenty users with relevant experience in the field of gait analysis participated in user trials to gauge user reaction and acceptance of the proposed system. An adapted version of the Technology Acceptance Model (TAM) framework was used to analyse results. All trials were conducted in an in-house virtual reality and simulation laboratory. The intention of health professionals to use the system was explored based on the TAM, with added constructs that concern virtual environments: Technical aspect (TA), Orientation (Orient.), Physical and emotional (PhE), and Availability of hardware in-house (AHWH). Based on the TAM and extended factors the findings suggest that the system was perceived as useful and health professionals' intentions to use the GADV/VE system were strongly affected by technical aspects and availability of hardware in-house and moderately affected by orientation and physical and emotional side effects. Results from the output of the TAM framework show that the virtual reality application for gait analysis would be a valuable tool in the diagnostic stage of gait analysis and was positively received by health professionals in the relevant field.

AB - A prototype virtual reality application has been developed as a diagnostic tool to aid visualisation of gait analysis and improve accessibility for health professionals who lack the technical experience to operate motion capture systems. The proposed system will take motion capture data stored in the Coordinated 3 Dimensional (C3D) file format and present the data as a visualisation in a three dimensional (3D) virtual environment. This article is presenting the design and development considerations, the evaluation results based on usability traits of this system and the user acceptance of the technology as a viable diagnostic tool. A virtual reality application was developed for the purposes of visualising motion captured data for gait analysis in a virtual environment. Twenty users with relevant experience in the field of gait analysis participated in user trials to gauge user reaction and acceptance of the proposed system. An adapted version of the Technology Acceptance Model (TAM) framework was used to analyse results. All trials were conducted in an in-house virtual reality and simulation laboratory. The intention of health professionals to use the system was explored based on the TAM, with added constructs that concern virtual environments: Technical aspect (TA), Orientation (Orient.), Physical and emotional (PhE), and Availability of hardware in-house (AHWH). Based on the TAM and extended factors the findings suggest that the system was perceived as useful and health professionals' intentions to use the GADV/VE system were strongly affected by technical aspects and availability of hardware in-house and moderately affected by orientation and physical and emotional side effects. Results from the output of the TAM framework show that the virtual reality application for gait analysis would be a valuable tool in the diagnostic stage of gait analysis and was positively received by health professionals in the relevant field.

KW - HCI

KW - gait analysis

KW - virtual reality

KW - technology acceptance model

KW - data visualisation

U2 - 10.1109/SAI.2014.6918270

DO - 10.1109/SAI.2014.6918270

M3 - Conference contribution

SN - 9780989319317

BT - 2014 Science and Information Conference

PB - IEEE

CY - Piscataway, NJ

ER -

Gait analysis data visualisation in virtual environment (GADV/VE): Science and Information Conference 2014

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Keywords

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