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University of South Wales

Digital Human Model for Postural Assessment - Postural Visualisation Application

Abstract

dc:description.abstract

Postural assessment is a vital process that enables clinicians to diagnose abnormalities and suggest treatment to improve a patient’s quality of life. However, the current methods of assessment and practices of data recording are non-standardised and do not utilise the opportunity modern mobile technology provides to improve the assessment experience for all parties involved.<br/><br/>This project aimed to enable clinicians to enhance their posture assessment process with the use of cutting-edge augmented reality technology to improve how measurements are taken, implemented as part of a complete system that standardises the data recording and transfer process to improve the efficiency of those processes and enables data to be more easily understood by other people.<br/><br/>An Android-compatible mobile application with ARCore technology was developed that provides features for static and real-time capture, to add annotations onto said captures, and to send data to a server with standardised methods. This was achieved by identifying clinician’s needs through survey and developing an application to solve the identified problems, ultimately achieving a measurement accuracy of approximately 1 to 1.5cm.

Degree

thesis:*
Name dc:type.qualificationname
Master's Thesis
Level dc:type.qualificationlevel
Student thesis
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ali, Khalid
Advisor dc:contributor.advisor
  • Kulon, Janusz

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
oai:pure.atira.dk:studenttheses/eb339c06-8a90-46d4-abbe-6399d1905de4
OAI identifier oai:identifier
oai:pure.atira.dk:studenttheses/eb339c06-8a90-46d4-abbe-6399d1905de4

Chain of custody

source
Harvested from
University of South Wales
Base URL
pure.southwales.ac.uk/ws/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ali, Khalid. Digital Human Model for Postural Assessment - Postural Visualisation Application. Student thesis thesis, 2022. https://pure.southwales.ac.uk/en/studentTheses/eb339c06-8a90-46d4-abbe-6399d1905de4