IREYE4TASK

IREYE4TASK is a dataset for wearable eye landmark detection and mental state analysis. Sensing the mental state induced by different task contexts, where cognition is a focus, is as important as sensing the affective state where emotion is induced in the foreground of consciousness, because completing tasks is part of every waking moment of life. However, few datasets are publicly available to advance mental state analysis, especially those using the eye as the sensing modality with detailed ground truth for eye behaviors. Here, we share a high-quality publicly accessible eye video dataset, IREye4Task, where the eyelid, pupil and iris boundary as well as six eye states, four mental states in two load levels, and before and after experiment are annotated for each frame to obtain eye behaviors as responses to different task contexts, over more than a million frames. This dataset provides an opportunity to recognize eye behaviors from close-up infrared eye images and examine the relationship between eye behaviors, different mental states and task performance.