Rock-paper-scissors with myo armband pose detection

Many new devices come out with the idea of making more comfortable life. One of these ideas is an Myo Armband which is a wireless device for interacting with other devices such as smartphone or computer to use as a mouse, keyboard, or even game controller by using Bluetooth technology and electromyography (EMG) sensor. In order to communicate with computer, user has to pose his/her hand and arm to matched the specified patterns for sending a command to the computer. However, the pose detection from itself is failed to detect the real pose from user even if it is synced following the guideline from its developer. This may cause some error in the application that depended on accuracy of the pose detection. Concept of this paper presents another way to detect the poses by using decision tree to solve the problem by sending EMG data sets from all 8 EMG sensors around it for deciding the pose from user. Rock-paperscissors game is created to test the concept of Myo Armband training. The experiment results show that the proposed technique can use as a pose detection algorithm in around 78% correction.