Arm Motion Estimation Algorithm Using MYO Armband

In this paper, we proposes an algorithm to estimate the overall arm motion using the MYO armband attached to the upper arm. Thus, we can get EMG data of biceps brachii and triceps brachii when the human stretch or bend his/her arm. The motion of the lower arm is estimated through the EMG signal of the upper arm. The motion of the upper arm is detected through the IMU sensor. To increase the reliability of the data, experimental environment is set up and process of filtering and initialization are performed before motion estimation. Finally, we propose an algorithm with average, sum and rate sequence based on the signals measured on 8 EMG channels of MYO. If the user takes an arbitrary action based on motion in this paper, it is shown by a simulation after algorithm processing.