In course of the VREHA research project new methodologies and approaches are developed in order to support rehabilitation therapy with state of the art virtual reality technology.
The main question of this thesis is how and if electromyography can be used as an Inputsystem on an Android application. This is to be researched as a part of a research project with the company Psii.Rehab, which is tightly corresponding to topics such as \emph{mobile virtual reality} and fingetracking. Thus Hardware has to be evaluated which includes, but is not limited to, mobile virtual reality goggles, fingertrackingsensors and electromyographs with the overall goal to achieve plattform–independency. Since the application uses aspects of virtual reality and should be mostly platform independent, it stands to reason that the Unity Framework should be used.
The mainfocus of the thesis lies on the electromyograph Thalmic Myo, since it is one of the few devices that on the one hand allows accessing raw electromyographic signal and using that data in unity and on the other hand is widely available. This is also related to problems because alot of the requested features are incomplete, or missing completely when using the device on android. Thats why the software provided by the manufacturers has to be extended and the missing functionality on android has to be reimplemented.
The data generated by the Thalmic Myo has to be normalized and, because of the requested functionality, abstracted. Only after that process the data can be used in the application. In this case application rather means a small showcase, which demonstrates the implementation of an inputsystem based on a electromyographic signal.
