Open Day Presentation
BSc Adaptive Communication System for Individuals with Motor Neurone Disease
Student
Desk
Initial task setting
Supervisor
Second Reader

g20-59

Keywords
Communication, Application, Adaptive, MND

Technologies
React Native, Python, Eye Gaze, Raspberry Pi

The objective of this project was to develop a reliable, accessible and cost effective communication app for late stage MND patients to interact and communicate with their caregivers and families.

Motor Neuron Disease (MND) is a progressive neurodegenerative disorder that leads to progressive muscle weakness gradually removing a persons ability to move, speak and interact with the world.

Patients generally use Augmentative and Alternative Communication (AAC) devices but they typically have a steep learning curve, unnecessary complexity and a high cost point. This system provides a clear and easy to use communication interface to reduce the stress and cognitive load for the user as their disease progresses whilst also keeping their family connected through real time features.

The system is implemented as a mobile application integrated with a Raspberry Pi, using eye gaze input for hands free interaction. An adaptive ranking algorithm prioritises user needs based on context, while real time notifications keep family members and caregivers informed.