Abstract: Systems, methods, and computer program products for generating a dataset of labelled physiological data points. Data corresponding to an individual is recorded. Input may be received indicating a label. A data point may be generated. The data point may include a timestamp when the input was received or the event is triggered, the label, and a portion of the data corresponding to the time when the input was received. The data point may be stored in a dataset of labelled data points. Labels might be predicted by the system using machine learning algorithm.

Abstract: A computer-implemented method and system for determining an arousal state of a user, the method comprising: obtaining input data relating to a response of the user to a communication signal, wherein the input data relates to one or more of: a direct response of the user, a physiological response of the user, the physiological response comprising at least one measured physiological value, and determining the arousal state of the user based on the input data, and one or more of: contextual data, an initial arousal state of the user, and user profiles. A computer-implemented method and system for determining a calibration communication signal for arousal state modulation. A computer-implemented method and system for monitoring a user's arousal state.