Eye Movement

This dataset encapsulates a comprehensive collection of eye movement recordings captured during sleep, exceeding 100 distinct episodes. The recordings are primarily categorized into Rapid Eye Movement (REM), Slow Eye Movement (SEM), and non-movement phases, providing a rich resource for sleep research. Each video is meticulously recorded in high-definition .mp4 format, ensuring clarity and precision in capturing subtle ocular dynamics.

The REM episodes within the dataset offer insights into the sleep architecture, typically associated with vivid dreaming and heightened brain activity. SEM occurrences, albeit less frequently discussed, represent a sleep onset period and are critical for understanding the transition into deeper sleep stages. The non-movement segments are equally valuable, as they often correlate with the deepest, most restorative sleep phases.

By utilizing advanced computer vision techniques, such as those offered by the OpenCV library, researchers can extract detailed information about eye position, velocity, and acceleration. This dataset not only serves as a fundamental tool for understanding sleep patterns but also holds potential for developing automated sleep stage classification systems. Its applications span across sleep disorder diagnosis, therapeutic interventions, and the enhancement of sleep quality assessment methodologies.