Abstract: The invention relates to a method for behaviour-based authentication (400) of a current user (1) to a mobile, portable communication system (100), which has at least one sensor (110) for capturing gross-motor measurement data (500), a gross-motor classification module (200), a processor (130), and an internal memory (120). Furthermore, a user is registered in the mobile, portable communication system (100). The sensor (110) is designed to recognise the gross-motor measurement data (500) of a gross-motor movement of the current user (1) of the mobile, portable communication system (100) and the gross-motor classification module (200) is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module (200) implements a machine-learning method. The gross-motor classification module (200) is executed by the processor (130) of the mobile, portable communication system (100).

Abstract: A method for behaviour-based authentication of a current user to a mobile, portable communication system, is implemented using at least one sensor for capturing gross-motor measurement data, a gross-motor classification module, a processor, and an internal memory. Furthermore, a user is registered in the mobile, portable communication system. The sensor is designed to recognise the gross-motor measurement data of a gross-motor movement of the current user of the mobile, portable communication system and the gross-motor classification module is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module implements a machine-learning method. The gross-motor classification module is executed by the processor of the mobile, portable communication system.