Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI)
which enables paralyzed people to directly communicate with and control external devices …

Emotions are the natural and easiest way of communication between human beings and
also plays a prominent role in day to day life. In current scenario, emotion recognition is the …

Abstract Objective Steady-State Visual Evoked Potentials (SSVEPs) are widely used in Brain-
Computer Interfaces (BCIs) applications. This research aims to estimate the brain sources' …

In electroencephalography, multi-channel electroencephalogram (EEG) signals are usually
utilized to improve classification accuracy. However, a large set of EEG channels increases …

Brain-Computer Interface (BCI) initially gained attention for developing applications that aid
physically impaired individuals. Recently, the idea of integrating BCI with Augmented Reality …

Electroencephalogram (EEG) is the most commonly utilized method of mapping brain wave
patterns from the scalp. It is a process of extracting electrical activities of the brain in the form …

The purpose of this study was to enhance the performance of steady-state visual evoked
potential (SSVEP)-based visual acuity assessment with spatial filtering methods. Using the …

Brain‐computer interface (BCI) systems translate the human neurophysiological activities
into commands through EEG analysis. Improving the BCI performances leads to faster and …

Steady-State Visually Evoked Potentials (SSVEP) based Brain-Computer Interfaces (BCIs)
offer significant potential in assistive and rehabilitation technologies. However, the …

Robotic assistive devices, such as exoskeletons are used in labour environments to promote
social inclusion of diverse types of impairments as for example upperlimb. Robotic …