Eye tracking device, eye tracking method, and computer-readable medium

An eye tracking method, comprising the following steps:

• receiving a signal stream of events produced by an event-based optical sensor due to radiation reflected off an eye of a user being received by said event-based optical sensor, each event corresponding to detection of a temporal change in the received radiation at one or more pixels of said optical sensor,
• generating an inference frame based on at least a portion of said stream of events,
• utilizing said inference frame as input to a machine learning module and operating said machine learning module to obtain output data, and
• extracting from said output data information related to said eye of said user, wherein said inference frame is generated utilizing a first artificial neural network.

A computer-readable medium comprising instructions which, when executed by a computer or microcontroller, cause the computer or microcontroller to carry out the following steps:

• receiving a signal stream of events produced by an event-based optical sensor due to radiation reflected off an eye of a user being received by said event-based optical sensor, each event corresponding to detection of a temporal change in the received radiation at one or more pixels of said optical sensor,
• generating an inference frame based on at least a portion of said stream of events,
• utilizing said inference frame as input to a machine learning module and operating said machine learning module to obtain output data, and
• extracting from said output data information related to said eye of said user, wherein said inference frame is generated utilizing a first artificial neural network.