Awareness and monitoring of personal mobility to improve quality of living at home for the elderly (MPhil Scholarship)

KESS 2 MPhil in Computer Science and Informatics: Awareness and monitoring of personal mobility to improve quality of living at home for the elderly

School of Computer Science and Informatics, Cardiff University

Project ID: CUK268
Annual Stipend: Stipend matching UK Research Council National Minimum
Application Deadline: 30 June 2018

Project Description:

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:

  1. Create activity maps using the collected location tracks and physical activity data
  2. Build personalised user profiles using the defined activity maps
  3. Use existing datasets to evaluate the potential of the developed profiles to contribute to improving healthcare in the elderly.

https://www.cardiff.ac.uk/study/postgraduate/funding/view/kess2-mphil-in-computer-science-and-informatics-awareness-and-monitoring-of-personal-mobility-to-improve-quality-of-living-at-home-for-the-elderly

To be eligible, the successful candidate will need to be resident in the convergence area of Wales (West Wales and the Valleys) on registration, and must have the right to work in the region on qualification.

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.