Understanding and predicting human movement is an important scientific endeavour with applications to rehabilitation, security/surveillance, smart environments, robotics, etc. Specifically, in Smart Environments (SE) and Human-Robot Interaction (HRI) models of human movement allow to anticipate human actions, therefore enabling predictive automation – e.g. in smart homes –, to detect irregular motion patters, and to adapt robot behaviour in view of a human’s intentions.
This project will develop a novel methodology for modelling human-like movement using advanced machine-learning techniques. Specifically, the work will focus on modelling human navigation in indoor environments, and object manipulation. The new methodology will make use of dynamical systems learning and non-linear systems identification as a comparative baseline. The models obtained will be tested in a smart environment setting to predict people’s behaviour and to detect deviation from normal movement.
The goal of this project is to develop, implement and test a novel methodology for the modelling and generation of human-like movement. The expected research outcome is a novel methodology to obtain movement models applied to human motion prediction and comparison in Smart Environments with applications to other areas like human-like motion generation in Robots.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
Vice Chancellors Research Scholarships (VCRS)
The scholarships will cover tuition fees and a maintenance award of £14,777 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £ 14,777 per annum for three years. EU applicants will only be eligible for the fees component of the studentship (no maintenance award is provided). For Non EU nationals the candidate must be "settled" in the UK.
As Senior Engineering Manager of Analytics at Seagate Technology I utilise the learning from my PhD ever day
Adrian Johnston - PhD in InformaticsWatch Video
Tuesday 5 November 2019
Computer Science and Informatics
When applying for this PhD opportunity please quote reference number: