Results 1 to 10 of about 5,275 (185)

Eye Fatigue Detection through Machine Learning Based on Single Channel Electrooculography

Algorithms, 2022
Nowadays, eye fatigue is becoming more common globally. However, there was no objective and effective method for eye fatigue detection except the sample survey questionnaire. An eye fatigue detection method by machine learning based on the Single-Channel
Yuqi Wang, Lijun Zhang, Zhen Fang
exaly   +3 more sources

Design of a Wearable Eye-Movement Detection System Based on Electrooculography Signals and Its Experimental Validation

Biosensors, 2021
In the assistive research area, human–computer interface (HCI) technology is used to help people with disabilities by conveying their intentions and thoughts to the outside world. Many HCI systems based on eye movement have been proposed to assist people
Kuan-Chih Huang, Chin-Teng Lin, Lun-De Liao   +2 more
exaly   +3 more sources

Investigating the Use of Electrooculography Sensors to Detect Stress During Working Activities [PDF]

Sensors
To tackle work-related stress in the evolving landscape of Industry 5.0, organizations need to prioritize employee well-being through a comprehensive strategy.
Alessandra Papetti, Marianna Ciccarelli, Andrea Manni, Andrea Caroppo, Gabriele Rescio   +4 more
doaj   +2 more sources

Señales EOG: una revisión sobre procesamiento y aplicaciones

Mundo 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, Fernando Jesús Regino-Ubarnes, Diana Yamileth Velásquez-Maldonado   +2 more
doaj   +1 more source

The Relationship between Stress Levels Measured by a Questionnaire and the Data Obtained by Smart Glasses and Finger Pulse Oximeters among Polish Dental Students

Applied Sciences, 2021
Stress is a physical, mental, or emotional response to a change and is a significant problem in modern society. In addition to questionnaires, levels of stress may be assessed by monitoring physiological signals, such as via photoplethysmogram (PPG ...
Katarzyna Mocny-Pachońska, Rafał J. Doniec, Szymon Sieciński, Natalia J. Piaseczna, Marek Pachoński, Ewaryst J. Tkacz   +5 more
doaj   +1 more source

Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings

IEEE Access, 2021
The current clinically used electroencephalography (EEG) sensors are not self-applicable. This complicates the recording of the brain’s electrical activity in unattended home polysomnography (PSG).
Matias Rusanen, Samu Kainulainen, Henri Korkalainen, Laura Kalevo, Katja Myllymaa, Timo Leppanen, Juha Toyras, Erna Sif Arnardottir, Sami Myllymaa   +8 more
doaj   +1 more source

Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal

Frontiers in Neuroscience, 2022
Electroencephalography (EEG) signals are disrupted by technical and physiological artifacts. One of the most common artifacts is the natural activity that results from the movement of the eyes and the blinking of the subject.
Marcin Jurczak, Marcin Kołodziej, Andrzej Majkowski   +2 more
doaj   +1 more source

Review Article. Role of Electrophysiological Methods in Diagnosis of Hereditary Retinal Dystrophies [PDF]

International Journal Bioautomation, 2021
The aim of the study is to present the different electrophysiological methods (EF) for study the retinal function and to highlight their importance in the diagnosis of hereditary retinal dystrophies (HRDs).
Elena Mermeklieva
doaj   +1 more source

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

Frontiers 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, Efe Anil Aksöz, Frank Behrendt, Frank Behrendt, Jasmin Wandel, Letizia Cappelletti, Annika Krug, Daniel Mörder, Annika Bill, Katrin Parmar, Katrin Parmar, Hans Ulrich Gerth, Hans Ulrich Gerth, Leo H. Bonati, Leo H. Bonati, Leo H. Bonati, Corina Schuster-Amft, Corina Schuster-Amft, Corina Schuster-Amft   +18 more
doaj   +1 more source

An Overview of Classification of Electrooculography (EOG) Signals by Machine Learning Methods

Gazi Üniversitesi Fen Bilimleri Dergisi, 2022
The distribution of the studies conducted between 2011-2021 in the fields of (Electrooculography) EOG and eye movements, EOG and wheelchair, EOG and eye angle, EOG and sleep state, EOG and mood estimation and EOG and game application was determined ...
Alihan SUİÇMEZ, Cengiz TEPE, Mehmet Serhat ODABAS   +2 more
doaj   +1 more source