The control of prostheses, orthoses and other mechanisms based on the electrical response of a specific region's musculature represents the integrations between user and application. This work presents the results of three promising techniques for feature extraction, and its implementation as well, with the intention of identifying different gestures performed by the right hand based on four surface electromyography signals from de forearm's musculature. After that will be presented the results of the final implementation on the hardware using the techniques with the previous best performances.