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:
What approach can be used in order to process signals from two control devices?
How will the gestures from the left and right arm be distinguished?
How to evaluate the ability of the system to accurately distinguish the gestures?