Recognition of Hand Movement for Paralytic Persons Based on a Neural Network

Computer Science and Engineering

Report in 2010 according to word health organization, there are more than 17,000,000 people infected with stoke yearly in all countries of the world as a result of the brain injury and prevent damage to the blood supply to the brain which leads to the injury that the patient is suffering of total paralysis or paraplegia and not able to do regular activities itself. Paralysed person loss of muscle function in part of body.it happens when something goes wrong with messages pass between brain and muscles in their body and in india the stroke rate is higher compared to other countries. To help the stoke patients out of its researchers have found a solution by creating hand gesture or sign that will help them perform daily functions easily and to for well communication with normal person. If paralysed patient wants to eat or something else, the system helps him to achieve what he wants. This method is the good way to help to the stroke patients and what they need , they want to eat or want to say something when the patient unable to walk due to stroke, and what feeling in complete paralysis, except his hands The Hand Gesture (HG) has become an alternative input devices such as a mouse and keyboard. The main aim is to read and detect the hand gesture by using high resolution cameras and process the image using convolution neural network by the process of edge detection. The proposed model is built by using convolutional neural network (CNN).

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