Existing visual-based fatigue detection methods usually monitor drivers' fatigue by capturing
their facial features, including eyelid movements, yawn frequency and head pose. However …

Drowsiness during driving is a very serious concern in the society. Thousands of human
lives are affected due to drowsy driving. So a system that can detect drowsy drivers is …

This paper proposes a camera-position-robust drowsiness estimation system that utilizes
head-pose information and estimation models trained on the basis of rotated-facial-video …

This research paper is proposed a real-time monitoring of drowsiness of the driver, to
forestall accidents. With the expansion in population, there has been an incredible increase …

This paper proposes a methodology of model predictive control for alleviating shallow
drowsiness of office workers and thus improving their productivity. The methodology is …

December the 3rd, 2017 was the happiest day of my life: My daughter Lea was born.
Watching her growing up in the past three and a half years and thinking about her future in …

This paper presents a vision-based driver drowsiness estimation system from sequences of
driver images. We propose a stage-by-stage system instead of an end-to-end system for …

In the context of monitoring student engagement during learning sessions, the ability to
accurately detect sleepiness can be a valuable asset. Early detection of sleepiness is critical …

Проанализированы два подхода оценивания состояния оператора по
видеоизображению лица с использованием глубоких сверточных нейронных сетей: 1) …

This study tackles on a new problem of estimating human-error potential on a shop floor on
the basis of wearable sensors. Unlike existing studies that utilize biometric sensing …