Converting Eye Blink to Speech for People with Motor Neuron Disorders

Abstract

A novel communication system is designed for individuals with Motor Neuron Disease (MND), a rare neuro-degenerative disorder that impairs voluntary muscle function. Our system leverages Human-Computer Interaction (HCI) principles, utilizing eye motion and blink detection to facilitate communication with the external environment. The proposed system is non-invasive, ensuring no harm to the patient or their surroundings. The core of our methodology involves the application of AdaBoost Training and Cascading Classifiers for effective face detection. This technique translates detected eye blinks into synthesized speech, enabling users to communicate despite severe physical limitations. The system’s efficiency is enhanced by a robust eye-tracking mechanism that focuses on the pupil’s movements, offering a reliable alternative communication interface for those with significant physical disabilities.