University of Sheffield Featured PhD Programmes
University of Southampton Featured PhD Programmes
Xi’an Jiaotong-Liverpool University Featured PhD Programmes
King’s College London Featured PhD Programmes
Loughborough University Featured PhD Programmes

Extracting Topology from Smartphone Motion Sensors (ET-SMS) (BUCKLEYOU20SCIEP)

  • Full or part time
  • Application Deadline
    Thursday, January 30, 2020
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Smartphones are becoming an increasingly vital and significant part of our everyday lives, and their popularity continues to grow. A study by the Office of Communications (Ofcom) [1] shows that two thirds of all adults in the UK own a smartphone, compared to only 39% in 2012. This research highlights how essential smartphones are becoming in our everyday lives, as they now considered to be the most important device for connecting to the Internet, even ahead of a laptop.

It is not only the ubiquity of these devices that continues to grow. Modern smartphones continue to evolve in terms of their complexity, and it is now normal for these devices to contain a number of sensors that are capable of observing the movement of these devices in the environment in which they are moving. The inclusion of a gyroscope and accelerometer in a smartphone mean that it is possible to track the motion of the device in space.

This PhD project will make use of these motion sensors to map environments and buildings. In addition to simply mapping the spaces, this project will look to extract contextual information about the features of the environment (e.g. doors, stairs, lifts, etc.). This data will then be reconstructed to create virtual representations of the environment using information visualisation techniques and potentially introducing augmented reality overlays.

This project will use a variety of skills including:

• Software development
• Information visualisation
• Data analytics
• Machine learning
• Augmented Reality

For any enquiries please contact the primary supervisor ().

For more information on the supervisor for this project, please go here: https://people.uea.ac.uk/o_buckley

This is a PhD project.

The start date of the project is 1 October 2020.

The mode of study is full-time. The studentship length is 3.5 years.

Entry requirements:

Acceptable first degree in Computer Science or related discipline.

The standard minimum entry requirement is 2:1.

Funding Notes

This PhD project is in an EPSRC studentship competition within the Faculty of Science. Funding is for 3.5 years and will be available to successful candidates who meets the UK Research Council eligibility criteria. These requirements are detailed in the Research Council Training Grant Guide which can be found at View Website (see Annex 1 for Residential Guidelines for Research Council Studentships). In most cases UK and EU nationals who have been ordinarily resident in the UK for 3 years prior to the start of the course are eligible for a full-award. Other EU nationals may qualify for a fees-only award.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2020
All rights reserved.