Human gait modelling with step estimation and phase classification utilising a single thigh mounted IMU for vision impaired indoor navigation
Access Status
Open access
Authors
Abhayasinghe, Kahala Nimsiri
Date
2016Supervisor
Assoc. Prof. Cesar Ortega-Sanchez
Assoc. Prof. Iain Murray
Type
Thesis
Award
PhD
Metadata
Show full item recordSchool
Department of Electrical and Computer Engineering
Collection
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.
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