A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals
to control external devices. The generation of such signals is sometimes independent of the …

This paper summarizes two novel ways to extend brain–computer interface (BCI) systems.
One way involves hybrid BCIs. A hybrid BCI is a system that combines a BCI with another …

In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …

Brain–computer interface (BCI) systems do not work for all users. This article introduces a
novel combination of tasks that could inspire BCI systems that are more accurate than …

Neuromarketing is a multidisciplinary field of research whose aim is to investigate the
consumers' reaction to advertisements from a neuroscientific perspective. In particular, the …

Objective: A challenging task for an electroencephalography (EEG)-based asynchronous
brain-computer interface (BCI) is to effectively distinguish between the idle state and the …

In this paper, we presented a novel asynchronous speller for Chinese sinogram input by
incorporating electroencephalography (EOG) into the conventional electroencephalography …

We present a novel human-machine interface, called GOM-Face, and its application to
humanoid robot control. The GOM-Face bases its interfacing on three electric potentials …

Objective. A hybrid brain-computer interface (BCI) is a device combined with at least one
other communication system that takes advantage of both parts to build a link between …

Electrooculography (EOG) signals, which can be used to infer the intentions of a user based
on eye movements, are widely used in human-computer interface (HCI) systems. Most …