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\section{Background of the Study}    \subsection{Statement of the Problem}  With the advance advancement  of technology and the decline of manual labor, humans try to improve their quality of life using any innovation they make. can think of.  Technology makes our lives easier and more efficient; In 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, 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 through a sensor placed on the upper arm. This device has been used for various things like controlling a flying drone, gaming, and touch-free control of mobile and computer devices; however, the problem with EMG signals is the complex recognition of gestures due to large variations in the signals. This study will aim to find a solution in order to simultaneously process multiple gestures from two separate devices and to minimize the lag time of inputs.  Specifically, this study aims to answer the following questions: 
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\subsection{Scope and Limitations}  The study covers the following:  \begin{enumerate}  \item The study will focus on configuring the myo two Myo armbands  to asynchronously work, implementing and seamlessly work together.  \item Implementing  machine learning on the prototype, and create prototype which adjusts for the user  \item Create  a rhythm game out of it. which implements both asynchronous input and machine learning.  \item The prototype is going to record the entire play the user has made and calculate the score.  \end{enumerate}