SYSTÈME DE DÉTECTION D'UN GESTE DE CORPS DE SIGNAL ET PROCÉDÉ POUR L'APPRENTISSAGE DU SYSTÈME

摘要

The invention is a system for detecting a signal body gesture, comprising a mobile device (200a, 200b, 200c) and a kinetic sensor (204a, 204b, 204i) adapted for recording a measurement motion parameter pattern corresponding to the time dependence of a motion parameter of the mobile device (200a, 200b, 200c) in a measurement time window, and a decision unit (210) applying a machine learning classification algorithm subjected to basic training utilizing machine training with the application 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 being 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.