deletions | additions       diff --git a/subsection_Related_Studies_on_muscle__.tex b/subsection_Related_Studies_on_muscle__.tex  index 26bb94d..421d8dc 100644  --- a/subsection_Related_Studies_on_muscle__.tex  +++ b/subsection_Related_Studies_on_muscle__.tex 
...
As mentioned, another gesture-recognition system is image processing through an external camera. In the study performed by Rautaray et al. \cite{Rautaray_2011}, various image processing techniques were applied for hand tracking and gesture recognition in a virtual gaming environment such as Camshift, Lucas Kanade, Haar etc. The different gestures used for the game interactions were grab, punch and go.  According to Jayarathne et al. \cite{Jayarathne_2015}, a surface EMG (sEMG) application that can indicate muscle efforts has been created. After developing, the muscle effort indicator application 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. Another muscle contraction research was carried out by Gao et al. \cite{Gao_2006}in \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, 3-D accelerometers network  and more for an Arm Wrestling Robot game. 3-D accelerometers.  Researches about the use of EMG in therapeutic games were performed by Brown et al. \cite{Donoso_Brown_2014} and Viriyasaksathian et al. \cite{Viriyasaksathian_2011}. EMG gestures were applied to a game for the upper-limb rehabilitation and motor control improvement of stroke patients. In the research conducted by the latter, 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.