Brain-Computer Interface (BCI) is a technology that uses electroencephalographic (EEG)
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …

In this paper, we propose simultaneous and sequential hybrid brain-computer interfaces
(hBCIs) that incorporate electroencephalography (EEG) and electromyography (EMG) …

Most hybrid brain-computer interfaces (hBCI) aim at improving the performance of single-
input BCI. Many combinations are possible to configure an hBCI, such as using multiple …

Most people with motor disabilities use a joystick to control an electric wheelchair. However,
those who suffer from multiple sclerosis or amyotrophic lateral sclerosis may require other …

Brain-Computer Interface (BCI) is a technique that allows the disabled to interact with a
computer directly from their brain. P300 Event-Related Potentials (ERP) of the brain have …

Abstract The Steady State Visual Evoked Potential (SSVEP) is a widely used component in
BCIs due to its high noise resistance and low equipment requirements. Recently, a novel …

Background Brain-computer interface (BCI) spellers detect variations in brain waves to help
subjects communicate with the world. This study introduces a P300-SSVEP hybrid BCI …

Hybrid brain computer interfaces (hBCIs) have emerged as a possible path to integrated
brain-computer interaction in current history. hBCI, is a device formed by the amalgamation …

Electroencephalography (EEG) has been recognized as a competent mode for cognitivists
to study brain activity potential variations with imposed mental workload. The elementary …

Research focused on signals derived from the human organism is becoming increasingly
popular. In this field, a special role is played by brain-computer interfaces based on …