Digital Human Model for Postural Assessment - Postural Visualisation Application

  • Khalid Ali

    Student thesis: Master's Thesis


    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.

    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.

    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.
    Date of AwardJul 2022
    Original languageEnglish
    SupervisorJanusz Kulon (Supervisor) & Marius Miknis (Supervisor)

    Cite this