Results 21 to 30 of about 5,095 (182)

Using natural head movements to continually calibrate EOG signals

Journal of Eye Movement Research, 2022
Electrooculography (EOG) is the measurement of eye movements using surface electrodes adhered around the eye. EOG systems can be designed to have an unobtrusive form-factor that is ideal for eye tracking in free-living over long durations, but the ...
Jason Nezvadovitz, Hrishikesh Rao
doaj   +1 more source

Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces

Sensors, 2021
Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated with the user’s intentions. In this work,
Francisco Laport, Daniel Iglesia, Adriana Dapena, Paula M. Castro, Francisco J. Vazquez-Araujo   +4 more
doaj   +1 more source

EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal

Frontiers in Neuroscience, 2021
In recent years, automatic sleep staging methods have achieved competitive performance using electroencephalography (EEG) signals. However, the acquisition of EEG signals is cumbersome and inconvenient.
Jiahao Fan, Jiahao Fan, Chenglu Sun, Meng Long, Chen Chen, Wei Chen, Wei Chen   +6 more
doaj   +1 more source

Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)

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, Rendyansyah Rendyansyah, Aditya Putra Perdana Prasetyo   +2 more
doaj   +1 more source

Acute mixed vestibulopathy. History case from the vestibulologist practice. Case report

Consilium Medicum, 2023
Patients with acute vestibulopathy are among the most uneasy (in terms of severity of symptoms) and challenging (in terms of determining the level of damage).
Sergei V. Lilenko, Dmitry S. Luppov
doaj   +1 more source

Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review

Frontiers in Neurorobotics, 2017
In this article, non-invasive hybrid brain–computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands are reviewed.
Keum-Shik Hong, Keum-Shik Hong, Muhammad Jawad Khan   +2 more
doaj   +1 more source

Absolute Eye Gaze Estimation With Biosensors in Hearing Aids

Frontiers in Neuroscience, 2019
People with hearing impairment typically have difficulties following conversations in multi-talker situations. Previous studies have shown that utilizing eye gaze to steer audio through beamformers could be a solution for those situations. Recent studies
Antoine Favre-Félix, Antoine Favre-Félix, Carina Graversen, Tanveer A. Bhuiyan, Martin A. Skoglund, Martin A. Skoglund, Sergi Rotger-Griful, Mike Lind Rank, Torsten Dau, Thomas Lunner, Thomas Lunner, Thomas Lunner   +11 more
doaj   +1 more source

A Reinforcement Learning Assisted Eye-Driven Computer Game Employing a Decision Tree-Based Approach and CNN Classification

IEEE Access, 2021
Human-Machine Interfaces employing biosignal-based inputs are hard to translate to real-life applications, in part because of the difficulty of developing generalized models to classify physiological events representing a user’s actions.
Joao Perdiz, Luis Garrote, Gabriel Pires, Urbano J. Nunes   +3 more
doaj   +1 more source

Differential diagnosis of solar maculopathy and congenital cone dystrophy: a clinical case

Российский офтальмологический журнал, 2023
The main symptoms of solar maculopathy are central visual acuity decrease, the onset of central scotoma, photophobia, metamorphopsia and dyschromatopsia.
I. E. Ioshin, D. A. Merkushenkova
doaj   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source