Emotion sensing artificial intelligence

A computing system, comprising:

• a memory;
• and
• a processor coupled to the memory, wherein the processor is configured to:
• determine one or more previous characteristics of a pupil of an eye based on image data from eye tracking sensors;
• determine one or more current characteristics of the pupil based on image data from the eye tracking sensors, wherein the one or more current characteristics include one or more of a current position of the pupil or a current size of the pupil;
• track movements, based on image data from the eye tracking sensors, in a position of the pupil and changes in a size of the pupil over a time period;
• automatically predict an emotional state based on a comparison between the one or more previous characteristics and the one or more current characteristics, the tracked movements and the tracked changes in the size;
• and
• adjust a parameter of one or more hardware devices based on the predicted emotional state.

A method comprising:

• determining one or more previous characteristics of a pupil of an eye based on image data from eye tracking sensors;
• determining one or more current characteristics of the pupil based on image data from the eye tracking sensors, wherein the one or more current characteristics include one or more of a current position of the pupil or a current size of the pupil;
• tracking movements, based on image data from the eye tracking sensors, in a position of the pupil and changes in a size of the pupil over a time period;
• automatically predicting an emotional state based on a comparison between the one or more previous characteristics and the one or more current characteristics, the tracked movements and the tracked changes in the size;
• and
• adjusting a parameter of one or more hardware devices based on the predicted emotional state.