The human-machine interface (HMI) and bio-signals have been used to control
rehabilitation equipment and improve the lives of people with severe disabilities. This …

Eye movements generate electric signals, which a user can employ to control his/her
environment and communicate with others. This paper presents a review of previous studies …

Electroencephalography (EEG) signals are disrupted by technical and physiological
artifacts. One of the most common artifacts is the natural activity that results from the …

Over the last decade, facial landmark tracking and 3D reconstruction have gained
considerable attention due to their numerous applications such as human-computer …

Dyslexia is a learning disability in acquiring reading skills, even though the individual has
the appropriate learning opportunity, adequate education, and appropriate sociocultural …

The electrooculogram (EOG) measures the cornea-positive standing potential relative to the
back of the eye. By attaching skin electrodes outside the eye near the lateral and medial …

With its acquisition of muscular potentials linked to displays of affective state, facial
Electromyography (EMG) is the most fitting physiological signal for performing emotional …

This study aims to determine and classify the back to eye movement (retrieving words/re-
reading) and skip** lines while reading from electrooculography (EOG) signals. For this …

Nowadays, electrooculogram is regarded as one of the most important biomedical signal in
measuring and analyzing eye movement patterns. Thus, it is helpful in designing EOG …

Abstract Human Computer Interaction (HCI) has turned into an emerging technology due to
the advancement in the field artificial intelligence and biomedical engineering. Acquiring …