Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy
This thesis presents the “easyWearable Gait Monitor,” an IMU-based system with a low-cost microcontroller for physiotherapy tracking. It incorporates proposed algorithms, including a novel gyroscope-based flexion/extension angle estimation with 99.2% CORR, and an accelerometer-based vertical offset...
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| Format: | Thesis |
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Curtin University
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/97831 |
| _version_ | 1848766327482744832 |
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| author | Siaw, Teck Ung |
| author_facet | Siaw, Teck Ung |
| author_sort | Siaw, Teck Ung |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis presents the “easyWearable Gait Monitor,” an IMU-based system with a low-cost microcontroller for physiotherapy tracking. It incorporates proposed algorithms, including a novel gyroscope-based flexion/extension angle estimation with 99.2% CORR, and an accelerometer-based vertical offset correction method with 96.4% CORR. A yaw-tilt correction method with 97.8% accuracy to overcome sensor misplacement for global abduction/adduction angle estimation is also proposed. All algorithms are validated against a low-cost marker-based MoCap system with low RMSE of 0.83°. |
| first_indexed | 2025-11-14T11:49:23Z |
| format | Thesis |
| id | curtin-20.500.11937-97831 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:49:23Z |
| publishDate | 2024 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-978312025-05-29T07:31:56Z Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy Siaw, Teck Ung This thesis presents the “easyWearable Gait Monitor,” an IMU-based system with a low-cost microcontroller for physiotherapy tracking. It incorporates proposed algorithms, including a novel gyroscope-based flexion/extension angle estimation with 99.2% CORR, and an accelerometer-based vertical offset correction method with 96.4% CORR. A yaw-tilt correction method with 97.8% accuracy to overcome sensor misplacement for global abduction/adduction angle estimation is also proposed. All algorithms are validated against a low-cost marker-based MoCap system with low RMSE of 0.83°. 2024 Thesis http://hdl.handle.net/20.500.11937/97831 Curtin University restricted |
| spellingShingle | Siaw, Teck Ung Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy |
| title | Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy |
| title_full | Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy |
| title_fullStr | Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy |
| title_full_unstemmed | Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy |
| title_short | Self-Compensating Angle Estimation Algorithms for Quantitative Evaluation of Gait Kinematics in Physiotherapy |
| title_sort | self-compensating angle estimation algorithms for quantitative evaluation of gait kinematics in physiotherapy |
| url | http://hdl.handle.net/20.500.11937/97831 |