System and method for eye-blink based assessment of sustained visual attention of a target

A system for assessing visual sustained attention of a target, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• record gaze data of the target using an eye tracker the gaze data comprising data associated with eye-blink response of the target during a systematic execution of a set of visual tasks;
• reconstruct from the gaze data, a set of uniformly sampled blink rate variability (BRV) series signals, each of the BRV series comprises a time series data constructed from intervals between consecutive eye-blinks obtained during the systematic execution of a set of visual tasks, wherein to reconstruct a uniformly sampled BRV series signal from amongst the set of uniformly sampled BRV series signals, the one or more hardware processors are further configured by the instructions to perform oversampling and interpolation on the gaze data;
• extract one or more time and frequency domain features from the set of uniformly sampled BRV series signals, wherein the one or more frequency domain features comprises at least a pareto frequency feature;
• compare values of the one or more features of the set of BRV series signals with a threshold values of the one or more features that are indicative of visual attention;
• and
• determine visual sustained attention of the target based on the comparison.

One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• recording gaze data of the target using an eye tracker, via one or more hardware processors, the gaze data comprising data associated with eye-blink response of the target during a systematic execution of a set of visual tasks;
• reconstructing from the gaze data, a set of uniformly sampled blink rate variability (BRV) series signals via the one or more hardware processors, each of the BRV series signals comprises a time series data constructed from intervals between consecutive eye-blinks obtained during the systematic execution of the set of visual tasks, wherein reconstructing a uniformly sampled BRV series signal from amongst the set of uniformly sampled BRV series signals comprises performing oversampling and interpolation on the gaze data;
• extracting, via the one or more hardware processors, one or more time and frequency domain features from the set of uniformly sampled BRV series signals, wherein the one or more frequency domain features comprises at least a pareto frequency feature;
• comparing values of the one or more features of the set of BRV series signals with a threshold values of the one or more features that are indicative of visual attention via the one or more hardware processors;
• and
• determining, via the one or more hardware processors, visual sustained attention of the target based on the comparison.