Results 21 to 30 of about 6,613 (252)

A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis. [PDF]

open access: goldMethodsX
Le TL   +11 more
europepmc   +2 more sources

Electrooculography in Marketing

open access: green, 2016
This article delas EOG analysis for marketing studies. Evaluation is performed using three methods. Data was recorded from 10 respondents. Proposed algorithm is realized in Matlab workspace.
František Fajmon
openaire   +2 more sources

Some Psychological Responses Measured by a Commercial Electrooculography Sensor and Its Applicability

open access: diamondProcedia Computer Science, 2018
Hideyuki Kanematsu   +2 more
exaly   +2 more sources

Señales EOG: una revisión sobre procesamiento y aplicaciones

open access: yesMundo Fesc, 2022
This paper presents a review of electrooculography signal processing and applications. First, it presents a general framework for using these signals. It then describes cutting-edge research on systems based on electrooculography signals.
David Escobar-Valencia   +2 more
doaj   +1 more source

The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke

open access: yesFrontiers in Neuroscience, 2023
IntroductionIt is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution ...
Szabina Gäumann   +18 more
doaj   +1 more source

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks

open access: yesSensors, 2023
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring cognitive ...
Rafał Doniec   +9 more
doaj   +1 more source

Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography

open access: yesBrain Sciences, 2023
Accurate sleep stage detection is crucial for diagnosing sleep disorders and tailoring treatment plans. Polysomnography (PSG) is considered the gold standard for sleep assessment since it captures a diverse set of physiological signals.
Utkarsh Lal   +2 more
doaj   +1 more source

Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items

open access: yesSensors, 2021
Research focused on signals derived from the human organism is becoming increasingly popular. In this field, a special role is played by brain-computer interfaces based on brainwaves.
Arkadiusz Kubacki
doaj   +1 more source

EOG-Based Human–Computer Interface: 2000–2020 Review

open access: yesSensors, 2022
Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology influencing physical medicine, daily life, gaming and even the aeronautics field.
Chama Belkhiria   +3 more
doaj   +1 more source

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