A Mini Review on Electrooculogram Based Rehabilitation Methods Using Bioengineering Technique for Neural Disorder Persons

S. Ramkumar (), M. Muthu Kumar, G. Venkata Subramani, K. P. Karuppaiah and C. Anandharaj
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S. Ramkumar: Kalasalingam Academy of Research and Education, School of Computing
M. Muthu Kumar: Kalasalingam Academy of Research and Education, School of Computing
G. Venkata Subramani: Kalasalingam Academy of Research and Education, School of Computing
K. P. Karuppaiah: Kalasalingam Academy of Research and Education, School of Computing
C. Anandharaj: Kalasalingam Academy of Research and Education, School of Computing

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 923-927 from Springer

Abstract: Abstract Living creatures especially human, always aimed to commune every process or incident that take place within the environment, to lead an easy and luxurious life. Everyday a person has to execute certain basic tasks to control their body movements or particular parts of the body. Paralyzed people do not have control over some of their body parts. However, there are persons who are severely paralyzed and they cannot move themselves. They need some assistive technologies to fulfill their needs. A person with disabilities, mainly total paralysis is often unable to exploit the biological communication channels such as voice and action. One such condition was massive Brainstem Lesions, Stupor, Guillain-Baree Syndrome and Traumatic Brain Injury. In these conditions they cannot move their muscles, but they can able to control their eye movement, which leads to a condition called locked in state. In this state the person were unable to control all the motor neural activity which leads to other communication technique to convey their thoughts with others using eye movements. To solve this problem eye controlled interfaces are needed. Human Computer Interfaces help individuals with disabilities to communicate through a computer using a digital channel and make life more prosperous for the paralyzed patients and further enhance their quality of life with the support of bio-based HCI.

Keywords: Electrooculography; Human Computer Interaction; Man Machine Interface; Feed Forward Neural Network; Elman Recurrent Neural Network; Singular Value Decomposition (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-41862-5_93

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