Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Objective. Most current electroencephalography (EEG)-based brain–computer interfaces
(BCIs) are based on machine learning algorithms. There is a large diversity of classifier …

Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …

Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …

Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

Shared control is an increasingly popular approach to facilitate control and communication
between humans and intelligent machines. However, there is little consensus in guidelines …

In recent times Electronic Learning (E-Learning) and Massive Open Online Courses
(MOOC) are more popular among the current generation of learners. Coursera, Edx …

Monitoring human brain activity has great potential in hel** us understand the functioning
of our brain, as well as in preventing mental disorders and cognitive decline and improve …

Numerous methods have been developed to gain reliable real-time remote control over
pilotless flying aircraft and to perform teleoperation. Recently, state-of-the-art brain-computer …