Investigation of a Smart and Low-Cost Autonomous System for Early Detection and Monitoring of Mild Cognitive Impairment in the Elderly

As the number of the elderly people increase, there is an urgent need for the development of advanced assistative technology to ensure their mobility and independent living by early detection and monitoring of the MCI in the low-income community. The main objectives of this project are described as follows:
Scientific:
(1) To develop novel algorithms for facial recognition and body movement analyses to early detect and monitor the MCI condition in the elderly.
(2) To propose a smart tool that can compute the attentional focus of the elderly and determine communication counterparts.
(3) To investigate a decision making tool to manage and integrate all the sensory resources of the mobile devices for efficiently executing multiple tasks.
Long-term:
(1) To improve the performance and scalability of the developed system for the purpose of collective care in the low-income community.
(2) To widen the scope of the applicability of the developed system.
(3) To lay the foundation for improving the interaction between the elderly and other assistive healthcare device/systems in different environments and chronic conditions.
(4) To associate healthcare applications with smart cities, robotics and autonomous systems, signal processing, computer vision and machine learning communities.

CAPITA Strategy Partnership PhD project, £99,929