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Automatic Sensing, Active monitoring and Memory Enforcing

Automatic Sensing, Active monitoring and Memory Enforcing (ASAME): A pre-clinical dementia mobile phone technology to facilitate early diagnosis and care.

Department of Computer Science, Swansea University

Project and aims

Various assistive technologies have been designed for people disagnosed with dementia particularly at moderate to severe stages of the disease.  However, people with high risk of dementia and those at the earlier stage of the disease receive very little care of support from health services due to their ability to live independently, which will however diminish should the disease develop or progress.  Early interventions hence are desirable in order to help them to maintain their independent living and to reduce the cost of care in long term.

The growing number of ubiquitous technology, Smartphones in particular, provides an ideal platform for deploying assistive technologies for these groups of people.  In this PhD, as assistive living application for Smartphones for these groups will be designed, implemented and tested.  This application provides vital independence support and functions in an automatic fashion via gathering and analysing user data over a long period of time and doesn’t require any user input during the daily activities.  In contrast to the other applications for dementia care, our proposed app has the ability not only to track users but more importantly to learn their activity patterns, which enables us for example to detect “wandering” patterns and alert relatives or carers.

For further information, please contact Dr Parisa Eslambolchilar – [log in to unmask] or visit 

http://www.swan.ac.uk/compsci/postgraduate/phdopportunities/automaticsensingactivemonitoringandmemoryenforcingasame/

Applicant requirements

The successful candidate will have or is about to receive a 1st or upper second class degree in computer science with strong skills in high level and low level programming such as QT, C++ and Android, in signal processing, and building interfaces on mobile platforms. 

Funding

This project is funded through a Swansea University scholarship. The student will receive an annual stipend of £13,726 plus UK/EU fees (possible increase in 2nd/3rd year). Start date is 1 October 2013.

How to apply

Application closing date: 8 April 2013


To apply for this PhD project, please download the research scholarship application form ‌and return it to the College of Science with the following:

Academic References - all scholarship applications require two references to be submitted in support. Please ensure that your chosen referees are aware of the funding deadline, as we will be using these to
help us evaluate your application.  Please either incude these with your scholarship application or ask your referees to send them directly to Sandra Kramcha.
Academic Transcripts -academic transcripts must be submitted along with the scholarship application by the funding deadline. We will be using these to verify your academic qualifications.
Applicants should use the Supplementary Personal Statement' section of the application form to explain why the nominated award they have chosen particularly appeals to them and how they would choose to develop it.


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