deletions | additions       diff --git a/subsection_Related_Studies_on_muscle__.tex b/subsection_Related_Studies_on_muscle__.tex  index 240fec3..51797cf 100644  --- a/subsection_Related_Studies_on_muscle__.tex  +++ b/subsection_Related_Studies_on_muscle__.tex 
...
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 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 The  framework is capable of providing real time interaction, actions mimicking a real guitar control and a realistic sound response.