Abstract: The invention is a system for detecting a signal body gesture, comprising a mobile device and a kinetic sensor adapted for recording a measurement motion parameter pattern corresponding to the time dependence of a motion parameter of the mobile device in a measurement time window, and a decision unit applying a machine learning classification algorithm subjected to basic training utilizing machine training with the application of a training database comprising signal training motion parameter patterns corresponding to the signal body gesture, operated in case the measurement motion parameter pattern having a value equal to or exceeding a predetermined signal threshold value, suitable for classifying the measurement motion parameter pattern to a signal body gesture category. The invention is, furthermore, a method for training the system.