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Gesture Recognition Case Study

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— In this paper, one of the challenges being faced by full or semi body paralyzed people caused by collapse in central nervous system along with slurred speech, hearing impairment and neuromuscular disorders is successful communication with their neighbors. Moreover, gesture recognition with the help of accelerometer sensors becomes so popular in developing various assistive modules for them in which the concept of decoding gesture position by considering the axis orientation from acceleration sensor with respect to gravity. In this work, to fulfill the need for paralyzed persons’ communication, the authors proposed a cost effective embedded translator module and discussed on how the accelerations of a hand motion in three perpendicular directions …show more content…

This leads to the injury that the patient is suffering of total paralysis or paraplegia. In the past decades the way of human interaction with computers and the input from the human to machine have been changed. As several diseases increase that affect the spinal card, part of one’s body, according to its severity there is a need for assistive device for them to live longer, happy and independent through human interaction. In this connection, hand gesture recognition is mainly used in many applications which are developed so far for paralyzed persons rather than tongue and eyeball. Generally, a stroke causes damage to the brain and depends on the part of the brain that is affected. For some people different stroke effects are mild and last a short time whereas some other strokes may cause more severe or lasting disability. The right half of the brain controls the left side of the body and vice versa. For most people, the left side of the brain controls language. The right side controls perceptual skills and spatial skills. 73% of stroke survivors lack confidence. 56% feels friends and family treat them differently.69% of 25-59 year olds were unable to return to …show more content…

In his proposed model Supervised Neural Networks (SNN) algorithm is developed and applied. The idea of the system is to monitor the patient's hand gesture. The obtained hand gesture movement of the patient will be interpreted and compared with the database. But at the same time, the system rejects any gestures not exist (contrary to the rules) and an error message will be displayed when the patient's gesture is out of system rules. It is inferred from the application modules those have been launched so far, hand gesture is mostly used for recognition and so, the same is considered in the proposed work that is accelerometer technique to translate the physical changes into useful messages that are essentially required to fulfill the paralyzed people. The block diagram and the experiments carried out with the developed module are detailed in the following section.
III.PROPOSED

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