Owing to the increased public interest in passive brain–computer interface (pBCI)
applications, many wearable devices for capturing electroencephalogram (EEG) signals in …

Brain–computer interfaces (BCIs) provide bidirectional communication between the brain
and output devices that translate user intent into function. Among the different brain imaging …

Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Background For two decades, EEG-based Brain-Computer Interface (BCI) systems have
been widely studied in research labs. Now, researchers want to consider out-of-the-lab …

Recently, successful applications of independent component analysis (ICA) to
electroencephalographic (EEG) signals have yielded tremendous insights into brain …

Emotion recognition from electroencephalography (EEG) has been an important research
direction in affective brain–computer interactions (ABCI). An integration of EEG-based …

Despite the proliferation of low-cost wearable sensors, until recently we have not been able
to monitor our brain activity in our daily lives with affordable and wearable devices. In this …

This paper presents the experimental validation of a readout circuit for the acquisition,
amplification, and transmission of extremely weak biopotentials with a focus on …

Technologies like passive Brain-Computer Interfaces (BCI) are able to enhance Human-
Machine Interaction. Anyhow, there are still shortcomings in terms of easiness of use …

The electroencephalogram (EEG) signal is a medium to realize a brain-computer interface
(BCI) system due to its zero clinical risk and portable acquisition devices. Current EEG …