KESS2 MPhil in Computer Science and Informatics: Awareness and monitoring of personal mobility to improve quality of living at home for the elderly
|Application deadline||16 December 2018|
|Start date||7 January 2019|
|Level of study||Postgraduate research|
|Award type||Master’s studentship|
|Number of studentships||One|
Knowledge Economy Skills Scholarships (KESS 2) is a pan-Wales higher level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.
Technology such as infrared motion detection sensors and wearable RFID tags now make it possible to monitor individual people’s levels of mobility within in-door environments. Highly detailed data on physical activity can also be readily extracted from wearable sensors, such as the Fitbit. Both of these types of data can be used to build personal profiles that can be analysed to detect physical wellbeing or changes in behaviour that may indicate, or indeed contribute to, deterioration in health.
Wrist-worn devices, such as the Fitbit, are able to provide rich information on physical activity (e.g. number of steps and stairs climbed), heart rate, and sleep quality. Augmenting this data with the type of activity undertaken in an indoor setting can provide a deeper understanding of well-being, particularly for elderly individuals with limited physical activity. For example, staying in bed for long hours during the day may indicate the need for medical attention, even if the physical activity metrics were within a normal range.
Project aims and methods
This MPhil project will work with an industrial partner to investigate approaches to activity change detection using mobility data collected from elderly patients in care homes. While useful approaches exist that consider location tracking and activity detection separately, the challenge for this project is in the combined analysis of location tracking data and physical activity data to provide an understanding of individual behaviour and habits.
Working with the industrial partner, we will collect data from a set of deployed sensors within a realistic context and will:
- Create activity maps using the collected location tracks and physical activity data
- Build personalised user profiles using the defined activity maps
- Use existing datasets to evaluate the potential of the developed profiles to contribute to improving healthcare in the elderly.
|Tuition fee support||Full UK/EU tuition fees|
|Maintenance stipend||The KESS2 scholarship will provide a stipend of £11,472 a year for MPhil studentships, (exact figures subject to confirmation.)|
|Additional funding offered||Funding is provided to cover items such as research consumables, training and travel to conferences.|
|Residency||UK Research Council eligibility conditions apply|
You must have obtained, or be about to obtain, a First class or Upper Second Class degree in a relevant discipline.
Applicants must have a home or work address in the West Wales and the Valleys region at the time of their application for KESS funding and their enrolment for the course of study (see details):
- have a home or work address in the West Wales and the Valleys region at the time of their application for KESS2 funding and their enrolment for the course of study
- have a legal right to live and work in the UK for the duration of the KESS2 support, and the right to take up paid work in the WWV region on completion of the scholarship
- be classified as a ‘home’ or ‘EU’ student.
The Convergence area covers West Wales and the Valleys, and is made up of the following 15 local authorities:
- Isle of Anglesey
- Neath Port Talbot
- Rhondda Cynon Taf
- Merthyr Tydfil
- Blaenau Gwent
Eligible students must be able to provide documentary evidence of a home or work address in the West Wales and the Valleys region of Wales at the time of their KESS2 application and enrolment for study.
Applicants must also be prepared to provide proof of identity and income as part of the stipend assessment process. Further details are available from the KESS2 Office.
Consideration is automatic upon application for admission to the Master of Philosophy in Computer Science and Informatics with a start date of January 2019.
In the "Research proposal and Funding" section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided.
Please select “No, I am not self-funding my research” when asked whether you are self-funding your research.
Please add "KESS2 MPhil in Computer Science and Informatics: Awareness and monitoring of personal mobility to improve quality of living at home for the elderly" when asked "Please provide the name of the funding you are applying for".
We reserve the right to close applications early should sufficient applications be received.
Funding opportunity provided by: