Eye-Ball Detection based Wheelchair and Communication System

Author(s):

Renuka Ganesh , Veermata Jijabai Technological Institute; Sonal Chavhan, Veermata Jijabai Technological Institute; Shweta Shah, Veermata Jijabai Technological Institute; Amrita Mishra, Veermata Jijabai Technological Institute

Keywords:

Graphic User Interface, Motor Neuron Diseases, Eye Aspect Ratio, Augmentative and Alternative Communication

Abstract:

A group of progressive neurological disorders that destroy motor neurons are called Motor Neuron Diseases (MNDs). The motor neuron cells control essential voluntary muscle activities which include speaking, walking and the like. MNDs can occur in both adults and children. In children, particularly in the congenital form of disease, symptoms can be present at birth or appear before the child learns to walk. In adults, MNDs occur more commonly in men than in women, and the symptoms appear after age 40. The most common MND is Amyotrophic Lateral Sclerosis (ALS), which affects both upper and lower motor neurons in adults. It has inherited and non-inherited forms and can affect the arms and/or legs and/or muscles that control the vocal cords, lips and tongue movements. In case of MNDs affecting the speech of an individual, he may need to rely upon Augmentative and Alternative Communication (AAC) devices to supplement existing speech or to replace speech that is not functional. Augmentative aids, such as picture and symbol communication boards and electronic devices, are also available to help these people express their thoughts. We are proposing an Eye-ball detection based wheelchair that uses eye movements as an input to interpret the patient’s requirement.

Other Details:

Manuscript Id	:	IJSTEV4I1043
Published in	:	Volume : 4, Issue : 1
Publication Date	:	01/08/2017
Page(s)	:	147-151

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