The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …

Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Due to the COVID-19 crisis, the education sector has been shifted to a virtual environment.
Monitoring the engagement level and providing regular feedback during e-classes is one of …

Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …

Microblogging platforms have seen exponential growth, leading to an abundance of user-
generated content. The challenge now is to efficiently extract crucial information from this …

Real-time eyeblink detection in the wild can widely serve for fatigue detection, face anti-
spoofing, emotion analysis, etc. The existing research efforts generally focus on single …

This work presents a new multimodal system for remote attention level estimation based on
multimodal face analysis. Our multimodal approach uses different parameters and signals …

In traditional classroom education the teacher can easily perceive or obtain the
engagements of the students by observing them. Distance education is affected by the …

Traffic accidents are caused by driver fatigue or distraction in many cases. To prevent
accidents, several low-cost hypovigilance (hypo-V) systems were developed in the past …