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
Zhen Fang
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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 +2 more
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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 ...
Mehmet Serhat Odabaş +2 more
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Development of a transformation model to analyze horizontal saccadic velocity using electrooculography: a pilot feasibility study [PDF]
Frontiers in NeuroscienceIntroductionSaccadic eye movements are established biomarkers in neuroscience and clinical neurology, with video-oculography (VOG) serving as the gold standard for measurement.
Da Young Kim +13 more
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A Wearable Multimodal Assistive Interface for Virtual Cursor Control in Stroke Survivors with Upper-Limb Impairment [PDF]
SensorsStroke survivors with upper-limb impairments often have difficulty using conventional computer interfaces, which limits their ability to perform daily computer-related activities independently.
Yuankai Liang +9 more
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Online vigilance analysis based on electrooculography [PDF]
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 This study provides a highly efficient online method for vigilance analysis and verifies this theory in some experiments. Compared with electroencephalogram (EEG) signals, electrooculography (EOG) signals are easier to collect and faster to process. Some research has proven relations between vigilance and EOG features like blink features and slow eye ...
Wei, Zheng-Ping, Lu, Bao-Liang
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AI-enabled eye-movement and emerging multimodal frameworks for precision dyslexia screening and reading pattern analysis [PDF]
Frontiers in MedicineIntroductionDevelopmental dyslexia refers to a common neurodevelopmental disorder, which impairs the accuracy and fluency of reading, and early identification is vital for initiating timely intervention.
Ashit Kumar Dutta +5 more
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Investigating the Use of Electrooculography Sensors to Detect Stress During Working Activities [PDF]
SensorsTo 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 +4 more
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Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG) [PDF]
Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2021 Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease.
Kemahyanto Exaudi +2 more
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An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography
Sensors, 2019 Ataxias are a group of neurodegenerative disorders characterized by cerebellar dysfunction that cause irregularities in the rate, rhythm, amplitude, and force of voluntary movements.
Octavian Postolache O Postolache +2 more
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