EOG Communication Interface for Quadriplegics: Prototype & Signal Processing

TL;DR

This paper presents a prototype EOG-based communication interface for quadriplegics that tracks eye movements and converts signals into content, aiming to improve assistive communication methods.

Contribution

It introduces a novel 3D eye movement tracking system integrated with signal processing on an ESP32 for assistive communication in quadriplegics.

Findings

Prototype successfully tracks eye movements

System converts signals into content displayed on LCDs and MP3s

Potential for improved natural communication in quadriplegics

Abstract

Electrooculography (EOG) is an electrophysiological signal that determines the human eye orientation and is therefore widely used in Human Tracking Interfaces (HCI). The purpose of this project is to develop a communication method for quadriplegic patients using EOG signals aimed at text and voice generation. The system consists of 3D eye movement tracking embedded using a custom-built prototype to measure the eyeball's left-right and up-down movements. The ESP32 board, which has a set of parameters to convert the data into content displayed on LCDs and MP3 players, is used to capture and process the signal. helps people by facilitating more natural and efficient symptom expression. The blink system will be able to incorporate face masks and more eye tests as it continues to develop. Even if it might work, more research and clinical trials are needed to evaluate the system's usefulness and ensure that it performs as planned in real-world scenarios. With this project, assistive technology will make significant progress and improve the lives of many who suffer from severe motor impairments.