Method of and system for processing signals sensed from a user

A computer-implemented system for processing signals sensed from a user, the system comprising:

• a non-transitory computer-readable medium;
• a processor configured to perform:
• accessing, from the non-transitory computer readable medium, positions of a line of sight of the user over a time frame;
• accessing, from the non-transitory computer readable medium, a first set of data associated with a first physiological signal sensed from the user over the time frame;
• accessing, from the non-transitory computer readable medium, a second set of data associated with a second physiological signal sensed from the user over the time frame;
• executing, by the processor, for at least one position of the positions of the line of sight of the user:
• identifying a first subset of data from the first set of data based on a first latency and a first duration, the first latency and the first duration being associated with the first physiological signal, the first latency and the first duration being dynamically determined based on a pattern category;
• identifying a second subset of data from the second set of data based on a second latency and a second duration, the second latency and the second duration being associated with the second physiological signal, the second latency and the second duration being dynamically determined based on the pattern category;
• associating the at least one position with the first subset of data and the second subset of data;
• causing to generate, by a machine-learning algorithm, a predicted value reflective of a pattern associated with the user, the predicted value being generated by the machine-learning algorithm based on the first subset of data and the second subset of data, the predicted value being associated with the at least one position;
• and
• storing, in the non-transitory computer readable medium, the predicted value associated with the at least one position.