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 …

Eye blinking has been documented as a measure related to cognition and as an indicator of
fatigue. The aim of the present study was to verify the influence of fatigue and/or mental load …

Blink detection is an important technique in a variety of settings, including facial movement
analysis and signal processing. However, automatic blink detection is very challenging …

Mental fatigue refers to the decline in cognitive abilities that can occur as a result of
prolonged mental exertion. Neuroscientists have been studying mental fatigue for a while …

Accurate classification of eye state is a prerequisite for preventing automobile accidents due
to driver drowsiness. Previous methods of classification, based on features extracted for a …

We propose a condition-adaptive representation learning framework for driver drowsiness
detection based on a 3D-deep convolutional neural network. The proposed framework …

Fatigue driving has become one of the most common causes for traffic accidents. In this
article, we proposed an effective fatigue detection method based on eye status with pupil …

In recent years, the rise of car accident fatalities has grown significantly around the world.
Hence, road security has become a global concern and a challenging problem that needs to …

Autonomous vehicles provide new input modalities to improve interaction with in-vehicle
information systems. However, due to the road and driving conditions, the user input can be …

Eye detection and eye state (close/open) estimation are important for a wide range of
applications, including iris recognition, visual interaction and driver fatigue detection …