Walking is one of the most daily activities while the gait of an individual person is personality. So far, there have been a huge number of studies to focus on gait analysis on the patients, e.g. cerebral palsy, stroke, and most of the studies compared the patient and healthy groups, ignoring the aspect of gait personality. In fact, an individual has their own style in gait, but this characteristics in gait has not be used in clinical diagnosis, treatment and rehabilitation. This project aims to investigate potential methods to recognise gait personality. These methods could be from various sources, e.g. artificial intelligence, statistics, biomechanics, and associated computer models. These methods should be effective to recognise gait patterns individually and identify individual gait changes reasonably.
Closing date for applications - September 2023
To enquire - please email Dr Weijie Wang, University of Dundee - [Email Address Removed]