Human gait modelling with step estimation and phase classification utilising a single thigh mounted IMU for vision impaired indoor navigation
| dc.contributor.author | Abhayasinghe, Kahala Nimsiri | |
| dc.contributor.supervisor | Assoc. Prof. Cesar Ortega-Sanchez | |
| dc.contributor.supervisor | Assoc. Prof. Iain Murray | |
| dc.date.accessioned | 2017-01-30T09:48:08Z | |
| dc.date.available | 2017-01-30T09:48:08Z | |
| dc.date.created | 2016-09-09T05:48:40Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/280 | |
| dc.description.abstract |
This research is focused on human gait modelling for infrastructure free inertial navigation for vision impaired. A pedometer based on a single thigh mounted gyroscope, an efficient algorithm to estimate thigh flexion and extension, gait models for level walking, a model to estimate step length and a technique to detect gait phases based on a single thigh mounted Inertial Measurement Unit (IMU) were developed and confirmed higher accuracies. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Human gait modelling with step estimation and phase classification utilising a single thigh mounted IMU for vision impaired indoor navigation | |
| dc.type | Thesis | |
| dcterms.educationLevel | PhD | |
| curtin.department | Department of Electrical and Computer Engineering | |
| curtin.accessStatus | Open access |