The automatic detection of eye positions, their temporal consistency, and their map** into
a line of sight in the real world (to find where a person is looking at) is reported in the …

This paper gives an overview of the cutting-edge approaches that perform facial cue
analysis in the healthcare area. The document is not limited to global face analysis but it …

Pupil detection in a human eyeimage or video plays a key role in many applications such as
eye-tracking, diabetic retinopathy screening, smart homes, iris recognition, etc. Literature …

There is increasing evidence that eye trackers can be used in neuroscience research to
assess cognitive function although expensive prices or low availability still prevent its …

Eye movements are essential in human-computer interaction (HCI) because they offer
insights into individuals' cognitive states and visual attention. Techniques for adequately …

Noncontact human‐computer interaction has an important value in wireless sensor
networks. This work is aimed at achieving accurate interaction on a computer based on auto …

This paper proposes a dynamic information fusion interactive system with a transparent
display applied in the vehicle. The dynamic information fusion interactive system integrates …

In the contemporary era, dizziness is a prevalent ailment among patients. It can be caused
by either vestibular neuritis or a stroke. Given the lack of diagnostic utility of instrumental …

Eye gaze serves as a primary indicator in identifying the human interest and attention for
human-computer interaction (HCI) studies. Most of the eye tracking technologies uses either …

In healthcare, diagnosis is very important which identify the diseases and track it. For this
machine learning, artificial intelligence (AI) or computer vision (CV) algorithms has been …