Gaze Connect: An Eye-Blink Controlled Communication System for LIS Patients

Abstract: Locked-In Syndrome (LIS) is an extremely serious neurological disorder that results in almost complete loss of voluntary control over muscles while preserving intact mental faculties. However, communication capabilities are significantly hampered, impacting independence, mental health, and quality of life for patients with LIS. As part of this paper, I am proposing the design of an efficient, low-cost communication support system called Gaze Connect specifically for patients with LIS employing eye-tracking gaze and blink detection methods. Also, the paper will incorporate the use of artificial intelligence with computer vision libraries for eye and blink analysis communication support with text and symbol keyboard support, voice support with text-to-speech conversion capabilities, home automation support with Internet of Things technology integration, and an added module for task-scheduling support for healthcare professionals caring for patients with LIS.

Keywords: Locked-in Syndrome, Eye Gaze Detection, Blink Recognition, Virtual Keyboard, Text to Speech, IoT Automation, Assistive Technology.