The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …

Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …

There is growing interest for implementing tools to monitor cognitive performance in
naturalistic environments. Recent technological progress has allowed the development of …

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 …

Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in
dynamic environments based on feedback. Explicit human feedback during robot RL is …

In this study, we implemented a new home appliance control system by combining
electroencephalography (EEG)-based brain-computer interface (BCI), augmented reality …

The understanding of the brain functioning in the real world is the next frontier: discovering
its operational principles, architectural design, and internal mechanisms are attributed as a …

Brain‐computer interface (BCI) provides direct communication between the brain and an
external device. BCI systems have become a trendy field of research in recent years. These …

Clinical neuroscience is increasingly relying on the collection of large volumes of differently
structured data and the use of intelligent algorithms for data analytics. In parallel, the …