Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …

Objective. Brain-controlled robotic arms have shown broad application prospects with the
development of robotics, science and information decoding. However, disadvantages, such …

Recent advances in robotics, neuroscience, and signal processing make it possible to
operate a robot through electroencephalography (EEG)-based brain-computer interface …

Since the emergence of head-mounted displays (HMDs), researchers have attempted to
introduce virtual and augmented reality (VR, AR) in brain–computer interface (BCI) studies …

Objective. The biggest advantage of steady-state visual evoked potential (SSVEP)-based
brain–computer interface (BCI) lies in its large command set and high information transfer …

Brain-computer interface (BCI) provides a novel technology for patients and healthy human
subjects to control a robotic arm. Currently, BCI control of a robotic arm to complete the …

This work addresses the adoption of Machine Learning classifiers and Convolutional Neural
Networks to improve the performance of highly wearable, single-channel instrumentation for …

Brain–computer interface (BCI) technology translates brain activity into meaningful
commands to establish a direct connection between the brain and the external world …

People with severe physical disabilities are not able of using standard robotic wheelchairs,
which generally demand some motor skills, and therefore total usage of associate muscles …