MH Lee, J Williamson, DO Won… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a highly accurate and fast spelling system that employs multi- modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …
DO Won, HJ Hwang, DM Kim… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation …
This paper describes a new eye-control method for eye-based computer interaction using EOG. This work aims to resolve some of the problems encountered in current systems when …
Y Lu, H Wang, N Feng, D Jiang, C Wei - Advanced Engineering Informatics, 2022 - Elsevier
The development of alternative pathways to communicate with outside world independent on language or limb motions is important. However, one of the challenges is the multi …
Introduction Steady-state visually evoked potentials (SSVEPs) have become popular in brain-computer interface (BCI) applications in addition to many other applications on clinical …
R Barea, L Boquete, JM Rodriguez-Ascariz, S Ortega… - Sensors, 2010 - mdpi.com
This paper describes a sensory system for implementing a human–computer interface based on electrooculography. An acquisition system captures electrooculograms and …
Eye movement detection has attracted increasing attention in the fields of safety driving, eye motion tracking, psychological assessment and telemedicine. Soft multi-functional electronic …
Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a signal. The WT relies on a prototype signal that is called the mother wavelet. However, there …
This paper presents an EOG-based (Electrooculography) interface for Human Computer Interface (HCI) purposes. The solution enables the filtering of the recorded signals and …