This project is to explore the feasibility of designing and building an AR application to improve cognitive and motor function (dual-task) in People with Multiple Sclerosis. The app will incorporate biosensors to detect user responses and machine learning to adjust to AR accordingly.

This is part of a research project to explore the feasibility of AR as a tool to help People with Multiple Sclerosis to improve their everyday lives. The tool incorporates a feedback loop where the biosensor data is interpreted by a Machine Learning model and updates the adaptive AR application.

Technologies to be used: Unity Game Engine (C#) or similar, with Augment Reality libraries, e.g. Vuforia. Biosensors will be mainly GSR and HR. Machine Learning model can be designed or existing one employed.