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 …
R Ileri, F Latifoğlu, E Demirci - Medical & Biological Engineering & …, 2022 - Springer
Dyslexia is a learning disability in acquiring reading skills, even though the individual has the appropriate learning opportunity, adequate education, and appropriate sociocultural …
DJ Creel - Handbook of clinical neurology, 2019 - Elsevier
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 …
F Latifoğlu, R İleri, E Demirci - Chaos, Solitons & Fractals, 2021 - Elsevier
This study aims to determine and classify the back to eye movement (retrieving words/re- reading) and skipping lines while reading from electrooculography (EOG) signals. For this …
With its acquisition of muscular potentials linked to displays of affective state, facial Electromyography (EMG) is the most fitting physiological signal for performing emotional …
LJ Qi, N Alias - Journal of Physics: Conference Series, 2018 - iopscience.iop.org
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 …
A Kabir, FB Shahin, MK Islam - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Abstract Human Computer Interaction (HCI) has turned into an emerging technology due to the advancement in the field artificial intelligence and biomedical engineering. Acquiring …