Brain–computer interfaces (BCIs) are an integration of hardware and software
communication systems that allow a direct communication path between the human brain …

Electroencephalography (EEG) is increasingly important in Brain-Computer Interface (BCI)
systems due to its portability and simplicity. In this paper, we provide a comprehensive …

Brain–computer interface (BCI) is a typical direction of integration of human intelligence and
robot intelligence. Shared control is an essential form of combining human and robot agents …

Objective: A brain-computer interface (BCI) can be used to translate neuronal activity into
commands to control external devices. However, using noninvasive BCI to control a robotic …

Motor disorder of upper limbs has seriously affected the daily life of the patients with
hemiplegia after stroke. We developed a wearable supernumerary robotic limb (SRL) …

Objective This study proposes a new hybrid brain-computer interface (BCI) system to
improve spelling accuracy and speed by stimulating P300 and steady-state visually evoked …

The accurate evaluation of mental workload of operators in human machine systems is of
great significance in ensuring the safety of operators and the correct execution of tasks …

Rehabilitation is essential for post-stroke body function recovery. Supported by the mirror
neuron theory, motor imagery (MI) has been proposed as a potential stroke therapy capable …

Introduction Brain-Computer Interfaces (BCI) based on Steady-State Visually Evoked
Potentials (SSVEP) have great potential for use in communication applications because of …

The common spatial pattern (CSP) is a popular method in feature extraction for motor
imagery (MI) electroencephalogram (EEG) classification in brain–computer interface (BCI) …