Gaming Cognitive Performance

A computer-implemented process to assess gaming performance, the process comprising:

• capturing live physiological data from a sensor configured in a user's gaming headset while the user plays a game, wherein the live physiological data comprises EEG and HRV data;
• individualizing the live physiological data to the user based on comparison with historical user physiological data;
• measuring the user's cognitive function determined as a function of:
• the individualized physiological data;
• a plurality of mental function metrics;
• and, a predictive analytic model trained with reference physiological data representative of a population of users playing a similar game;
• and,
• automatically notifying the user of cognitive fatigue detected based on evaluating the measured cognitive function as a function of time.

A computer-implemented process to assess gaming performance, the process comprising:

• capturing live physiological data from a sensor configured in a user's gaming headset while the user plays a game, wherein the live physiological data comprises EEG, HRV, and PPG data;
• individualizing the live physiological data to the user based on comparison with historical user physiological data, wherein the historical physiological data comprises EEG, HRV, and PPG data;
• training an individualized predictive analytic model based on a baseline predictive analytic model, the individualized physiological data, and reference physiological data representative of a population of users playing a similar game;
• measuring the user's cognitive load determined as a function of:
• the individualized physiological data;
• a plurality of mental function metrics;
• and, the individualized predictive analytic model;
• and,
• automatically notifying the user of cognitive fatigue detected based on evaluating the measured cognitive load as a function of time.

A computer-implemented process to assess mental performance, the process comprising:

• storing physiological data captured from a sensor configured in a user's wearable device during a task performance by the user;
• determining if the task performance is complete;
• in response to determining the task performance is complete:
• individualizing the physiological data stored during the completed task performance to the user based on comparison with historical user physiological data;
• measuring the user's cognitive function based on the individualized stored physiological data;
• and,
• reporting the user's cognitive fatigue determined based on evaluating the measured cognitive load as a function of time.