• Abijith Vignesh .T
• Aishwarya P K
• Dr.S. Sobitha Ahila

Machine learning algorithms are evolving in every industry -translating text, identifying faces in photographs, driving cars and so on. This paper is a survey on the use of machine learning for the communication of pseudo coma people. These people are affected by full body paralysis and can only blink their eyes but they are cognitively active (able to understand what is happening around them and what people talk). Currently they have very few ways of communicating with normal people, some are very expensive while others are intrusive in nature. One way of effective communication for them would be by blinking their eyes in Morse code and a system to convert them into text or voice. The usage of the eye aspect ratio in finding the number of blinks would help in designing a cheaper and faster system

Machine learning, pseudo coma, Morse code

"SURVEY ON EYE BASED TRACKING SOLUTIONS FOR PSEUDO COMA PEOPLE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.984-987, February-2018, Available :http://www.jetir.org/papers/JETIR1802175.pdf

"SURVEY ON EYE BASED TRACKING SOLUTIONS FOR PSEUDO COMA PEOPLE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp984-987, February-2018, Available at : http://www.jetir.org/papers/JETIR1802175.pdf