The Myo Armband is a sensor that can be attached to the forearm, and allows to send to devices equipped with Bluetooth muscular patterns of arm movements triggered by some gestures made by hand. Also it produces rotation data based on a gyroscope, accelerometer and magnetometer embedded on it. The Leap Motion is a sensor-based cameras and infrared lights that allows accurately track the hands motion, including fingers. Therefore, the objective of this research is to use techniques and algorithms to combine the data from both sensors in order to create a 3D virtual simulation in real time of an arm motion, including the arm, forearm, hand and fingers. The purpose of this combination is also improving performance, aiming to overcome the main limitations of the sensors when used each individually.