Human Gait Analysis Using Inertial Measurement Unit for Rehabilitation
| dc.contributor.author | Han, Yi Chiew | |
| dc.contributor.supervisor | Kiing Wong | en_US |
| dc.date.accessioned | 2020-02-20T07:47:12Z | |
| dc.date.available | 2020-02-20T07:47:12Z | |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/78046 | |
| dc.description.abstract |
The main contribution is an Inertial Measurement Units (IMUs) based system that classifies a selection of gait anomalies to assist the clinicians in diagnosis of walking disorders. The developed 3-D angle and stride length estimation algorithms have been validated against gold standard Vicon optical motion capture system. The proposed IMU-based gait phase detection method has also been validated against force sensors. Additionally, IMU and video synchronization provides numerical data to the clinicians for visual inspection. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Human Gait Analysis Using Inertial Measurement Unit for Rehabilitation | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | Curtin Malaysia | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Curtin Malaysia | en_US |