A novel method proposes for human machine communication using ARM Cortex A-8 processor.Gesture is a form of non-verbal communication I. IntroductionHuman computer interaction is one of the important area of research were people try to improve the computer technology. Now days we find smaller and smaller devices being used to improve technology. Hand gesture and object recognition is another area of research. A simple interface like embedded keyboard, folderkeyboard and mini keyboard already exists in today's market. However there interface need some amount of space to use and cannot be used while moving. Touch screen are also globally used which are good control interface and are being used in many applications. However, touch screen cannot be applied to desktop system because of cost and other hardware limitations. [7]. Implements gesture recognition[8] based on hausdroff distance but is not real time, especially when implemented on dedicated system such as Beagle board XM. In many cases special gloves or markers have been used for efficient detection [1] and tracking which constraints the users and other vases demand a very simple and plain background [9] [10]. In a very real time method of hand gesture recognition [12] [15]based on convexity defect is presented but an analysis based only on convexity defects is dependent on smoothness of background [6].Image recognition is the process of identifying and detecting an object or a feature in a digital image or video [10]. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical post[11] image recognition algorithms include: Optical character recognition, Pattern and gradient matching, Face or Hand recognition, License plate matching, Scene change detection. This can implement using mat lab is familiar for image recognition.A different gesture [13] templates, finding the best match has been, hand finding convexities and Hu moment matching are implement. 'Mouse less' is an invisible computer mouse that provides the familiarity of interaction of a physical mouse without actually needing a real hardware mouse. Despite the advances in computing hardware technologies, the two-button computer mouse has remained the predominant means to interact with a computer. The Mouse less invention removes the requirement of having a physical mouse altogether but still provides the intuitive interaction of a physical mouse that users are familiar with

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Neuron Specic Enolase (NSE) is a glycolytic enzyme. It is exclusively present in neurons and neuroendocrine cells. It is an important marker to assess functional damage to neurons. Studies have shown that NSE is more than 90% sensitive to decide the severity of stroke. This study was conducted to compare the Serum levels of NSE and radiological imaging in assessing the severity of stroke. A hospital based descriptive study was conducted on 60 stroke patients (<72hrs from onset) and 60 controls. Glasgow Coma Scale (GCS) was assessed, and serum NSE was measured. Non contrast CT brain was taken. mRS scale was assessed after 30 days of onset of stroke. ROC curve analysis was done which showed a Sensitivity of 82.5% and Specicity of 82.5% for serum levels of NSE at a cut off value 12ng/mL. NSE showed a positive correlation with mRS; negative correlation with GCS. Hence it is advisable to measure serum NSE levels at the existing health care facilities, where CT brain is not available.

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