Results 41 to 50 of about 6,613 (252)

Electrooculography-controlled Cursor [PDF]

, 2021
People with motor disabilities or those with amputated limbs may lack the capability to operate a computer using a standard mouse. In today's world, the use of a computer is necessary for everyday tasks and the inability to use a computer can be a huge ...
Dulzo, Elizabeth, Abdullah, Samina, Ismail, Samy, Ahamparam, Aidan   +3 more
core   +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

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

Electrooculography

, 2012
This thesis deals with principles of electrooculography and methods used for its applications. Then there are some properities of electrooculography (EOG) signal.
Mošnerová, Jitka
core   +2 more sources

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

Power and area efficient FIR filter using Radix- 2^r multiplier for de-noise the electrooculography (EOG) signal. [PDF]

Sci Rep
Kumar GK, Chinnapurapu NR, Srinivas K.
europepmc   +3 more sources

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

Fatigue evaluation using electrooculography

, 2014
The master´s thesis deals with fatigue evaluation in electrooculography records (EOG). The theoretical part focuses on electrooculography itself, fatigue and methods used for fatigue detection from EOG.
Němcová, Andrea
core   +2 more sources