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.
Related items
Showing items related by title, author, creator and subject.
-
Han, Yi Chiew ; Wong, Kiing Ing; Murray, Iain (2020)Gait modelling is essential for many applications including animation, activity recognition, medical diagnosis, and robotics. Many researchers have worked on mathematically express the movement of human bodies. At the ...
-
Abhayasinghe, Nimsiri; Murray, Iain (2014)Human gait analysis is a major topic in pedestrian navigation and geriatric care. Identifying gait phases is important in using human gait for pedestrian navigation and tracking. Most of existing gait phase identification ...
-
Han, Yi Chiew ; Wong, Kiing Ing; Murray, Iain (2020)In this research, the authors investigate the feasibility of selecting three-dimensional thigh and shank angles as the features of machine learning methods. Four common machine learning techniques, i.e. random forest, ...