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\subsection{Conceptual Framework}  \subsection{Statement of the Problem}  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:  \begin{enumerate}  \item What approach can be used in order toasynchronously  processthe electromyographic  signals fromthe  twogesture  control devices? \item What machine learning approach is the most appropriate method of making the device adjust to the user?  \item Would How will  the gestures from the left and right arm  be fully recognized? distinguished?  \item If lag from How to evaluate  the recognition ability  of the signals were to exist, would there be a way system  to completely eliminate accurately distinguish  the said problem? gestures?  \end{enumerate}  \subsection{Objectives}    \subsubsection{General Objectives}  The main objective of the study is to develop a rhythm game prototype which enables asynchronous read  and seamless gesture processing through distinguish signals from  two Myo armbands. sources through an Air Guitar game.  \subsubsection{Specific Objectives}  \begin{enumerate}  \item Identify the gestures To design a set-up  that will be needed in the game and configure allow muscle gesture recognition from two sources.  \item Train  the Myo armband computer  to detect only these recognize left and right hand  gestures. \item Use machine learning in processing gestures performed Test if the computer can receive input  in different ways or styles.  \item Configure two armbands to work asynchronously with each other. real time using the Air Guitar game.  \end{enumerate}    \subsection{Scope and Limitations} 
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\end{enumerate}    \subsection{Significance of the Study}  The game industry is clearly one of the fastest growing economic sectors in our world today. With this, the gaming experience has been continuously innovated from game control up to user interface techniques. Within the past few years, various human-computer interfaces have been developed for games and one of these is electromyography.    This study will be of great significance in the gaming industry because with the enhanced recognition of gestures as the system adjusts itself to the person, it will be much more convenient for the users to play the game.     Furthermore, this study will benefit the following: