The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …

Guidelines: 1. Propose an eye-blink detection algorithm that uses facial landmarks as an
input. 2. Evaluate the proposed detector quantitatively based on the ground-truth dataset …

The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …

Human gaze behavior is not the only important aspect about eye tracking. The eyelids
reveal additional important information; such as fatigue as well as the pupil size holds …

Eye tracking is increasingly influencing scientific areas such as psychology, cognitive
science, and human-computer interaction. Many eye trackers output the gaze location and …

The correct identification of the eyelids and its aperture provide essential data to infer a
subject's mental state (eg, vigilance, fatigue, and drowsiness) and to validate or reduce the …

This paper presents an adaptive camera-based eye blink detection algorithm for assessing
the level of drowsiness during driving. The data used in this study were collected from …

Eyelid identification and aperture estimation provide key data that can be used to infer
valuable information about a subject's mental state (eg, vigilance, fatigue, and drowsiness) …

Research into biometric identification technologies has evolved in recent years, as most
secure facilities and applications are now based on digital technology. Among the available …

Currently, the rapid development of computer vision and deep learning has enabled the
creation or manipulation of high-fidelity facial images and videos via deep generative …