This degree work focuses on the acquisition and subsequent processing of the SEMG signals of 5 of the most important muscles that act in the normal gait cycle of the human body, both under normal conditions and in conditions of load relief, it is also done use of signals of plantar pressure and goniometry in the joints. Data that after being processed are entered into a computer model of each person in the Opensim program to compare the results that it provides with the known ones of the experiments and also to know the force exerted by each muscle during the walking cycle of person.