Enhancing Assistive Communication: An EOG-Based Continuous Eye-Writing Recognition Deep Learning Model

Modern human-computer interfaces (HCI) are crucial for individuals facing severe neurological diseases such as amyotrophic lateral sclerosis, brainstem stroke, and multiple sclerosis [1]. In many cases where voluntary movements are restricted to eye control, eye movements are critical for them to perform different tasks, like writing and communication[2][3]. Therefore, HCI systems that capture their gaze direction are pivotal in enhancing their communication and have a better quality of life.