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According to Jayarathne et al. \cite{Jayarathne_2015}, surface EMG (sEMG) can be used to indicate muscle efforts. The muscle effort indicator application that they have developed was then implemented in the Flappy Bird game. It has been demonstrated that with the use of fast Fourier transform (FFT) and several other computer algorithms that sEMG can be used to provide biofeedback in a gaming environment. A muscle contraction research also was carried out by Gao et al. \cite{Gao_2006} in which the force of the muscles for an Arm Wrestling Robot game was also calculated with the implementation of sEMG and several computing techniques such as black-propagation neural network and 3-D accelerometers. Taneichi et al. \cite{Taneichi_2012} also implemented sEMG to evaluate skills using a fighting game called Super Street Fight IV: Arcade Edition (SSF4AE). 10 subjects were divided into two groups: the skilled and unskilled. In their experiment, they measured sEMG signals only in the left arm which controls the lever of the arcade controller. Based on the results, there were significant differences in standard deviation of all channels by chi-squared test. It has been learned that sEMG is a good way too evaluate fighting skills.  Researches about the use of EMG in therapeutic games were performed by Brown et al. \cite{Donoso_Brown_2014}, Lipovský and Ferreira \cite{Lipovsky_2015} and Viriyasaksathian et al. \cite{Viriyasaksathian_2011}. EMG gestures were applied to control a game instead of using other controllers such as the Wii remote \cite{Alankus_2010} for the upper-limb rehabilitation and motor control improvement of stroke patients. In the research conducted by the latter, Viriyasaksathian et al.,  the combination of music synchronization, biofeedback technology and augmented reality was employed to attract the attention of stroke patients since existing therapy methods are often boring thus results to lack of motivation. A similar study was conducted by Converse et al. \cite{Converse_2013} about using EMG for physiotherapy in video games to make patients exhibit compliance and motivation. Studies have been conducted about the implementation of EMG based gestures on guitar rhythm games. A virtual air guitar (VAG) was developed by Karjalainen et al. \cite{karjalainen2006virtual} using a combination of handheld controllers and a guitar synthesizer. In their study, they implemented camera tracking of hand positions using orange gloves. Figueiredo et al. \cite{Figueiredo_2009} created an open source framework for air guitar games that has same features and also uses the same image processing methods with the VAG. Their framework is capable of providing real time interaction, actions mimicking a real guitar control and a realistic sound response.