The scientific advances of recent years have made available to anyone affordable hardware
devices capable of doing something unthinkable until a few years ago, the reading of brain …

With the popularity of deep learning, motor imagery electroencephalogram (MI-EEG)
recognition based on feature extractors and classifiers has performed well. However, the …

The application of brain-computer interface (BCI) has always been limited by low decoding
accuracy due to excessive noise in electroencephalogram (EEG) signals. The traditional …

Objective Key challenges in upper limb prosthetics include a lack of effective control
systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive …

Wearable devices have revolutionized healthcare monitoring, allowing us to track
physiological conditions without disrupting daily routines. Whereas monitoring physical …

Brain-Computer Interface (BCI) is a device that can connect brain commands without the
need for movement, gesture, or voice. Usually, BCI uses the Electroencephalogram (EEG) …

Humans play more of a role as operators who carry out control functions, so cognitive
abilities, especially those related to perception and decision-making, become very …

The rise of security concerns has spurred on-going research into Brain-Computer Interfaces
(BCI) based authentication. These applications utilize electroencephalogram (EEG) signals …

A stroke occurs due to circulatory disorders in the brain that can cause severe disability.
Therefore, it requires rehabilitation. One of the instruments used in monitoring post-stroke …

Previous research has proven the strong influence of emotions on student engagement and
motivation. Therefore, emotion recognition is becoming very relevant in educational …