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 …

EEG-EOG based virtual keyboard: Toward hybrid brain computer interface

SM Hosni, HA Shedeed, MS Mabrouk, MF Tolba - Neuroinformatics, 2019 - Springer
The past twenty years have ignited a new spark in the research of Electroencephalogram
(EEG), which was pursued to develop innovative Brain Computer Interfaces (BCIs) in order …

Motion-based rapid serial visual presentation for gaze-independent brain-computer interfaces

DO Won, HJ Hwang, DM Kim… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily
use matrix layouts and generally require moderate eye movement for successful operation …

A novel wearable forehead EOG measurement system for human computer interfaces

J Heo, H Yoon, KS Park - Sensors, 2017 - mdpi.com
Amyotrophic lateral sclerosis (ALS) patients whose voluntary muscles are paralyzed
commonly communicate with the outside world using eye movement. There have been …

A comparison of EOG baseline drift mitigation techniques

N Barbara, TA Camilleri, KP Camilleri - Biomedical Signal Processing and …, 2020 - Elsevier
Objective Electrooculography (EOG) is an eye movement recording technique based on the
electrical activity due to the eyes, which may be used to develop human computer interfaces …

Trigger motion and interface optimization of an eye-controlled human-computer interaction system based on voluntary eye blinks

GR Ma, JX He, CH Chen, YF Niu, L Zhang… - Human–Computer …, 2024 - Taylor & Francis
Eye-controlled human-computer interaction (ECHCI) attracts attention for its human-
centered, natural and direct operation characteristics. The most common ECHCI trigger …

EOG-based eye tracking protocol using baseline drift removal algorithm for long-term eye movement detection

J Ryu, M Lee, DH Kim - Expert Systems with Applications, 2019 - Elsevier
This paper presents a new method to remove baseline drift and noise by using a differential
electrooculography (EOG) signal based on a fixation curve (DOSbFC) and a new electrode …

Combining a brain–machine interface and an electrooculography interface to perform pick and place tasks with a robotic arm

E Hortal, E Iáñez, A Úbeda, C Perez-Vidal… - Robotics and …, 2015 - Elsevier
This paper presents a multimodal Human–Machine Interface system that combines an
Electrooculography Interface and a Brain–Machine Interface. This multimodal interface has …

EOG-based human–computer interface: 2000–2020 review

C Belkhiria, A Boudir, C Hurter, V Peysakhovich - Sensors, 2022 - mdpi.com
Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology
influencing physical medicine, daily life, gaming and even the aeronautics field. EOG-based …

Real-time estimation of horizontal gaze angle by saccade integration using in-ear electrooculography

Ľ Hládek, B Porr, WO Brimijoin - Plos one, 2018 - journals.plos.org
The manuscript proposes and evaluates a real-time algorithm for estimating eye gaze angle
based solely on single-channel electrooculography (EOG), which can be obtained directly …