Using artificial intelligence and telerehabilitation to promote sustainable exercise in older adults

Rehabilitation

Summary

This project uses artificial intelligence and telerehabilitation to deliver flexible, personalised exercise guidance for older adults, helping them stay active and independent for longer.

How are we doing it?

The project will be delivered through three key phases:

1. Development: I will use a co-design approach to develop the tool and a small-scale proof-of-concept data collection to inform early design.

2. Algorithm training: I will collect data to develop and train the algorithm that powers the personalised exercise progression.

3. Feasibility testing: I will run a longitudinal feasibility study to determine the acceptability of the approach and its potential for improving exercise adherence.

What happens next?

If this project is successful, we plan to run a larger study to test how effective the tool is. We also hope to expand its use to support people with specific health conditions in the future.

Funding

NIHR Exeter BRC.

People Involved

Professor Helen Dawes, University of Exeter, Dr Piotr Slowinski, University of Exeter.

Other collaborators: Professor Constantinos Maganaris, Liverpool John Moores University, Professor Gregory Bogdanis, National and Kapodistrian University of Athens, Greece, Dr Gavin Tempest, Northumbria University.