Abstract: Computer recognition is performed to recognise whether a user interacting with a user device in an identified interval of time is the same user as a user that has interacted with the device at other times. First user behaviour data is derived by processing first data representative of a user interacting with the user device, generated by a plurality of different elements of the user device including a sensor. At least a first interval of time is identified relating to an interaction of a user with the user device. Second user behaviour data is derived by processing second data representative of a user interacting with the user device during at least the first interval of time. User verification data, based on the first user behaviour data and the second user behaviour data, is transmitted from the user device to an interaction verification system.

Abstract: A computer system is disclosed for dynamic vehicle insurance billing, comprising a data storage device storing instructions and a data processor that is configured to execute the instructions to cause the computer system to calculate risk values associated with one or more trips of a vehicle based at least in part on telematics data associated with the vehicle, and determine an insurance value based at least in part on the risk values.

Abstract: Systems and methods are provided for dynamically controlling sensor-based data acquisition in vehicles. The disclosed embodiments may receive signals associated with sensors in a vehicle, wherein the signals are associated with sampling rates, and apply bandwidth filters to the signals to create filtered signals. The disclosed embodiments may also detect an occurrence of an event by comparing the filtered signals to one or more event thresholds and transmit event data to a control system when the event thresholds are exceeded. The disclosed embodiments also may dynamically adjust signals, sampling rates, bandwidth filters, a generated event score, and the event thresholds based on changes to a set of control variables. The control variables may depend on signals associated with a set of sensors in a vehicle or on boundary conditions and signals associated to an external system.

Abstract: Systems and methods are provided for dynamically controlling sensor-based data acquisition in vehicles. The disclosed embodiments may receive signals associated with sensors in a vehicle, wherein the signals are associated with sampling rates, and apply bandwidth filters to the signals to create filtered signals. The disclosed embodiments may also detect an occurrence of an event by comparing the filtered signals to one or more event thresholds and transmit event data to a control system when the event thresholds are exceeded. The disclosed embodiments also may dynamically adjust signals, sampling rates, bandwidth filters, a generated event score, and the event thresholds based on changes to a set of control variables. The control variables may depend on signals associated with a set of sensors in a vehicle or on boundary conditions and signals associated to an external system.