Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Objective: Spectral power analysis plays a predominant role in electroencephalogram-
based emotional recognition. It can reflect activity differences among multiple brain regions …

Abstract Brain Computer Interfaces (BCIs) and Extended Reality (XR) have seen significant
advances as independent disciplines over the past 50 years. XR has been developed as an …

Motor imagery classification is an important topic in brain–computer interface (BCI) research
that enables the recognition of a subject's intension to, eg, implement prosthesis control. The …

Soft bioelectronic interfaces for map** and modulating excitable networks at high
resolution and at large scale can enable paradigm-shifting diagnostics, monitoring, and …

In this article, non-invasive hybrid brain–computer interface (hBCI) technologies for
improving classification accuracy and increasing the number of commands are reviewed …

This paper presents a novel method for feature extraction from electroencephalogram (EEG)
signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the …

Advances in brain-computer interface (BCI) technology have facilitated the detection of
Motor Imagery (MI) from electroencephalography (EEG). First, we present three strategies of …

In this paper, a hybrid brain-computer interface (BCI) system combining P300 and steady-
state visual evoked potential (SSVEP) is proposed to improve the performance of …