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Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review
A Kaur - Journal of medical engineering & technology, 2021 - Taylor & Francis
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 …
rehabilitation equipment and improve the lives of people with severe disabilities. This …
Electrooculograms for human–computer interaction: A review
WD Chang - Sensors, 2019 - mdpi.com
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 …
environment and communicate with others. This paper presents a review of previous studies …
Implementation of a convolutional neural network for eye blink artifacts removal from the electroencephalography signal
Electroencephalography (EEG) signals are disrupted by technical and physiological
artifacts. One of the most common artifacts is the natural activity that results from the …
artifacts. One of the most common artifacts is the natural activity that results from the …
BioFace-3D: Continuous 3D facial reconstruction through lightweight single-ear biosensors
Over the last decade, facial landmark tracking and 3D reconstruction have gained
considerable attention due to their numerous applications such as human-computer …
considerable attention due to their numerous applications such as human-computer …
A novel approach for detection of dyslexia using convolutional neural network with EOG signals
Dyslexia is a learning disability in acquiring reading skills, even though the individual has
the appropriate learning opportunity, adequate education, and appropriate sociocultural …
the appropriate learning opportunity, adequate education, and appropriate sociocultural …
The electrooculogram
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 …
back of the eye. By attaching skin electrodes outside the eye near the lateral and medial …
Emotional state detection based on EMG and EOG biosignals: A short survey
With its acquisition of muscular potentials linked to displays of affective state, facial
Electromyography (EMG) is the most fitting physiological signal for performing emotional …
Electromyography (EMG) is the most fitting physiological signal for performing emotional …
Assessment of dyslexic children with EOG signals: Determining retrieving words/re-reading and skip** lines using convolutional neural networks
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 …
reading) and skip** lines while reading from electrooculography (EOG) signals. For this …
3D Facial Tracking and User Authentication through Lightweight Single-ear Biosensors
Facial landmark tracking and 3D reconstruction have gained considerable attention due to
their numerous applications such as human-computer interactions, facial expression …
their numerous applications such as human-computer interactions, facial expression …
Comparison of ANN and SVM for classification of eye movements in EOG signals
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 …
measuring and analyzing eye movement patterns. Thus, it is helpful in designing EOG …