Patents by Inventor Aron KUNZE

Aron KUNZE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for behavior-based authentication of a user
    Patent number: 12093358
    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).
    Type: Grant
    Filed: April 25, 2023
    Date of Patent: September 17, 2024
    Assignee: neXenio GmbH
    Inventors: Manfred Paeschke, Maxim Schnjakin, Philipp Berger, Willi Gierke, Patrick Hennig, Ajay Kesar, Aron Kunze, Christoph Meinel, Marvin Mirtschin, Stephan Schultz
  • METHOD AND SYSTEM FOR BEHAVIOR-BASED AUTHENTICATION OF A USER
    Publication number: 20230267185
    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).
    Type: Application
    Filed: April 25, 2023
    Publication date: August 24, 2023
    Applicant: NEXENIO GMBH
    Inventors: Manfred PAESCHKE, Maxim SCHNJAKIN, Philipp BERGER, Willi GIERKE, Patrick HENNIG, Ajay KESAR, Aron KUNZE, Christoph MEINEL, Marvin MIRTSCHIN, Stephan SCHULTZ