deletions | additions       diff --git a/section_Background_of_the_Study__.tex b/section_Background_of_the_Study__.tex  index bc3a910..ec599c3 100644  --- a/section_Background_of_the_Study__.tex  +++ b/section_Background_of_the_Study__.tex 
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\section{Background of the Study}    \subsection{Statement of the Problem}  \par{ With the advance of technology and the decline of manual labor, humans try to improve their quality of life using any innovation they make. Technology makes our lives easier and more efficient; In turn, efficiency implies that we can allot the saved time for other tasks. For example, the evolution of buttons to touch screen. This evolution saved precious time by introducing dynamic menus, faster input, and a lot of flexibility. However, evolution does not stop there. With the introduction of electromyography(EMG), or the technique of evaluating and recording muscle activity through either a needle(intramuscular) or electrodes on muscles(surface), another form of input was made. It's unclear if it provides a substantial increase in efficiency compared to touch screens; however, having different options for certain situations are favorable. Because of the expensive and professional implications of intramuscular EMG, surface EMG is better suited for undergrad studies. One device that's able to conduct surface EMG is the Myo armband.  The Myo armband is a wearable gesture control device that has been developed for the detection of arm muscle movements. movements through a sensor placed on the upper arm.  This device can be used for various things like controlling a flying drone, gaming, and touch-free control of mobile and computer devices by detecting electromyographic(EMG) signals. devices.  The problem with EMG signals is the complex recognition of the gestures due to large variations in signals. This study will aim to find a solution in order to simultaneously process multiple gestures from two separate devices.} devices.  Specifically, this study aims to answer the following questions:  \begin{enumerate}  \item What approach can be used in order to asynchronously process the electromyographic signals from the two gesture control devices? 
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\begin{enumerate}  \item Only 20 songs will be implemented in the prototype.  \item The study will cater to right handed people only.  \item The muscle movements will be limited on to  the forearm muscles. \item The game is only limited to the guitar instrument and machine learning is going to be used to recognize the different strumming techniques.  \end{enumerate}