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dc.contributor.authorKhaksar, Siavash
dc.date.accessioned2024-12-18T08:38:07Z
dc.date.available2024-12-18T08:38:07Z
dc.date.issued2024
dc.identifier.urihttp://hdl.handle.net/20.500.11937/96613
dc.description.abstract

Patients who have suffered soft tissue injuries or undergone surgery often experience reduced muscle strength, flexibility, and pain in the affected area, which can interfere with daily activities. Rehabilitation exercises are crucial in reducing symptoms and returning patients to normal activities. This research presents a framework for human joint rehabilitation that enables clinicians to set engaging gamified rehabilitation tasks for their patients utilising non-invasive sensors and machine learning algorithms.

dc.titleA Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors
dc.typeReport
dcterms.source.titlePhD Thesis
dc.date.updated2024-12-18T08:37:59Z
curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusIn process
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidKhaksar, Siavash [0000-0002-1944-1418]
curtin.repositoryagreementV3


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