Abstract: There is provided a method and system for calibrating a human state sensor, the method comprising: detecting a plurality of output values of the sensor, the output values being indicative of a mental and/or physiological state of a user; determining a boundary output value based on the detected plurality of output values, wherein a predetermined part of the detected output values is higher or lower than the boundary output value; determining a threshold output value of the sensor based on the boundary output value.

Abstract: A computer-implemented method for quantifying a mental state, the method comprising: collecting, as a first training data subset, at least one pair of biosignals, wherein each biosignal is related to an intensity of a mental state of one or more persons; receiving, as a second training data subset, at least one annotation indicative of which biosignal of the pair of biosignals is related to a higher intensity of the mental state; training the artificial neural network on a training dataset comprising the first and second training data subsets to predict values of intensities of mental states; receiving a production dataset input comprising at least one production biosignal related to an intensity of the mental state as an input dataset; and processing the production input dataset by the artificial neural network to predict a value of an intensity of the mental state related to the production biosignal.

Abstract: System and computer-implemented method for determining a cognitive demand level of a user, the method comprising: recording, as a first training data subset, one or more first biosignals of a user, wherein the user is occupied with at least one first task, training an artificial neural network on a training dataset to determine a cognitive demand level indicative of cognitive demand the user is experiencing; recording one or more second biosignals of a user of a vehicle as an input dataset; and processing the input dataset by the trained artificial neural network to determine the cognitive demand level indicative of cognitive demand the user is experiencing.

Abstract: Computer-implemented method for determining an eye movement, the method comprising: recording a series of images of an eye of a person with a camera; generating a first signal indicative of eye openness depending on time; and for each point in time, determining whether the first signal indicates an open eye, a closed eye, or is inconclusive as to whether the eye is open or closed, depending on whether the first signal exceeds a predetermined first threshold; characterized in that the determination further depends on one or more predetermined criteria, wherein the predetermined criteria comprise minimum and maximum values for one or more of a blink duration, a number of blinks per minute, a time between blinks, and a maximum blink velocity during a movement of the eyelid when the eye is being opened and/or closed.