Results 1 to 10 of about 5,076 (163)

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
Chin-Teng Lin, Sheng-Fu Chen, Lun-De Liao   +2 more
exaly   +3 more sources

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

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

Using Electrooculography and Electrodermal Activity During a Cold Pressor Test to Identify Physiological Biomarkers of State Anxiety: Feature-Based Algorithm Development and Validation Study [PDF]

JMIRx Med
BackgroundAnxiety has become a significant health concern affecting mental and physical well-being, with state anxiety (s-anxiety)—a transient emotional response—linked to adverse cardiovascular and long-term health outcomes.
Jadelynn Dao, Ruixiao Liu, Sarah Solomon, Samuel Aaron Solomon   +3 more
doaj   +2 more sources

A Comprehensive Framework for Eye Tracking: Methods, Tools, Applications, and Cross-Platform Evaluation [PDF]

Journal of Eye Movement Research
Eye tracking, a fundamental process in gaze analysis, involves measuring the point of gaze or eye motion. It is crucial in numerous applications, including human–computer interaction (HCI), education, health care, and virtual reality.
Govind Ram Chhimpa, Ajay Kumar, Sunita Garhwal, Dhiraj Kumar, Niyaz Ahmad Wani, Mudasir Ahmad Wani, Kashish Ara Shakil   +6 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 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

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

Sensors, 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, Justyna Konior, Szymon Sieciński, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek   +9 more
doaj   +1 more source

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

Brain 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, Suhas Mathavu Vasanthsena, Anitha Hoblidar   +2 more
doaj   +1 more source