A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors
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....
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2023
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| Online Access: | http://hdl.handle.net/20.500.11937/94583 |
| _version_ | 1848765880768397312 |
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| author | Khaksar, Siavash |
| author_facet | Khaksar, Siavash |
| author_sort | Khaksar, Siavash |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:42:17Z |
| format | Thesis |
| id | curtin-20.500.11937-94583 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:42:17Z |
| publishDate | 2023 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-945832024-03-25T03:45:05Z A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors Khaksar, Siavash 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. 2023 Thesis http://hdl.handle.net/20.500.11937/94583 Curtin University fulltext |
| spellingShingle | Khaksar, Siavash A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors |
| title | A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors |
| title_full | A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors |
| title_fullStr | A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors |
| title_full_unstemmed | A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors |
| title_short | A Framework for Gamification of Human Joint Remote Rehabilitation, Incorporating Non-Invasive Sensors |
| title_sort | framework for gamification of human joint remote rehabilitation, incorporating non-invasive sensors |
| url | http://hdl.handle.net/20.500.11937/94583 |