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Related papers: Estimating Visual Comfort in Stereoscopic Displays…

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The conflict between vergence (eye movement) and accommodation (crystalline lens deformation) occurs in every stereoscopic display. It could cause important stress outside the "zone of comfort", when stereoscopic effect is too strong. This…

Human-Computer Interaction · Computer Science 2014-04-25 Jérémy Frey , Léonard Pommereau , Fabien Lotte , Martin Hachet

Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the understanding of user experience. We contribute a set of methods to…

Human-Computer Interaction · Computer Science 2016-01-13 Jérémy Frey , Maxime Daniel , Julien Castet , Martin Hachet , Fabien Lotte

When using Head-Mounted Displays (HMDs), users may not always notice or report visual discomfort by blurred vision through unadjusted lenses, motion sickness, and increased eye strain. Current measures for visual discomfort rely on users'…

Human-Computer Interaction · Computer Science 2024-07-29 Francesco Chiossi , Yannick Weiss , Thomas Steinbrecher , Christian Mai , Thomas Kosch

Electroencephalogram (EEG) is a very promising and widely implemented procedure to study brain signals and activities by amplifying and measuring the post-synaptical potential arising from electrical impulses produced by neurons and…

Neurons and Cognition · Quantitative Biology 2023-04-05 Subhrangshu Adhikary , Kushal Jain , Biswajit Saha , Deepraj Chowdhury

Evaluating human-computer interaction is essential as a broadening population uses machines, sometimes in sensitive contexts. However, traditional evaluation methods may fail to combine real-time measures, an "objective" approach and data…

Human-Computer Interaction · Computer Science 2013-11-12 Jérémy Frey , Christian Mühl , Fabien Lotte , Martin Hachet

Electroencephalography-based eye tracking (EEG-ET) leverages eye movement artifacts in EEG signals as an alternative to camera-based tracking. While EEG-ET offers advantages such as robustness in low-light conditions and better integration…

Signal Processing · Electrical Eng. & Systems 2025-03-19 Tiago Vasconcelos Afonso , Florian Heinrichs

Physiological fatigue, a state of reduced cognitive and physical performance resulting from prolonged mental or physical exertion, poses significant challenges in various domains, including healthcare, aviation, transportation, and…

Human-Computer Interaction · Computer Science 2024-01-30 Ildar Rakhmatulin

Electroencephalography (EEG) is a neuroimaging technique that records brain neural activity with high temporal resolution. Unlike other methods, EEG does not require prohibitively expensive equipment and can be easily set up using…

Human-Computer Interaction · Computer Science 2024-10-01 Arash Akbarinia

Stereoelectroencephalography (SEEG) is a neurosurgical method to survey electrophysiological activity within the brain to treat disorders such as Epilepsy. In this stereotactic approach, leads are implanted through straight trajectories to…

Neurons and Cognition · Quantitative Biology 2023-02-09 Markus Adamek , Alexander P Rockhill , Peter Brunner , Dora Hermes

Electroencephalography (EEG) is a method of recording brain activity that shows significant promise in applications ranging from disease classification to emotion detection and brain-computer interfaces. Recent advances in deep learning…

Machine Learning · Computer Science 2026-01-15 Amarpal Sahota , Navid Mohammadi Foumani , Raul Santos-Rodriguez , Zahraa S. Abdallah

For several decades, electroencephalography (EEG) has featured as one of the most commonly used tools in emotional state recognition via monitoring of distinctive brain activities. An array of datasets have been generated with the use of…

Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and cognitive content of neural processing based on non-invasively measured brain activity. Traditional EEG decoding methods have achieved moderate success when…

Signal Processing · Electrical Eng. & Systems 2022-03-09 Xun Chen , Chang Li , Aiping Liu , Martin J. McKeown , Ruobing Qian , Z. Jane Wang

Electroencephalography (EEG) monitors ---by either intrusive or noninvasive electrodes--- time and frequency variations and spectral content of voltage fluctuations or waves, known as brain rhythms, which in some way uncover activity during…

Neurons and Cognition · Quantitative Biology 2019-03-13 Javier A. Galadí , Joaquín J. Torres , J. Marro

Eye movements can reveal valuable insights into various aspects of human mental processes, physical well-being, and actions. Recently, several datasets have been made available that simultaneously record EEG activity and eye movements. This…

Signal Processing · Electrical Eng. & Systems 2023-08-14 Nina Weng , Martyna Plomecka , Manuel Kaufmann , Ard Kastrati , Roger Wattenhofer , Nicolas Langer

Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states.…

Human-Computer Interaction · Computer Science 2023-05-16 Kuan-Jung Chiang , Steven Dong , Chung-Kuan Cheng , Tzyy-Ping Jung

The increasing quality and affordability of consumer electroencephalogram (EEG) headsets make them attractive for situations where medical grade devices are impractical. Predicting and tracking cognitive states is possible for tasks that…

Computer Vision and Pattern Recognition · Computer Science 2016-06-07 Pouya Bashivan , Irina Rish , Steve Heisig

Visual decoding from electroencephalography (EEG) has emerged as a highly promising avenue for non-invasive brain-computer interfaces (BCIs). Existing EEG-based decoding methods predominantly align brain signals with the final-layer…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Jingyi Tang , Shuai Jiang , Fei Su , Zhicheng Zhao

Electroencephalogram (EEG) is an important diagnostic test that physicians use to record brain activity and detect seizures by monitoring the signals. There have been several attempts to detect seizures and abnormalities in EEG signals with…

Machine Learning · Computer Science 2022-03-22 Kwanhyung Lee , Hyewon Jeong , Seyun Kim , Donghwa Yang , Hoon-Chul Kang , Edward Choi

Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check what happens before and after watching a 2D and 3D…

Signal Processing · Electrical Eng. & Systems 2019-03-15 Negin Manshouri , Masoud Maleki , Temel Kayikcioglu

Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography signals are distorted by movement artifacts and electromyography signals in ambulatory…

Human-Computer Interaction · Computer Science 2020-02-05 Young-Eun Lee , Minji Lee
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