Objective. Motor imagery (MI) is a process of autonomously modulating the motor area to
rehearse action mentally without actual execution. Based on the neuroplasticity of the …

The phenomena of brain-computer interface-inefficiency in transfer rates and reliability can
hinder development and use of brain-computer interface technology. This study aimed to …

Abstract Background and objective Brain-Machine Interfaces (BMIs) based on a motor
imagination paradigm provide an intuitive approach for the exoskeleton control during gait …

A positive aging requires placing human changes due to healthy or pathological
senescence at the center of gerontechnology design. A set of key solutions for …

Robot learning based on implicitly extracted error detections (eg, EEG-based error
detections) has been well-investigated in human-robot interaction (HRI). In particular, the …

Brain-machine interfaces (BMIs) based on motor imagery (MI) for controlling lower-limb
exoskeletons during the gait have been gaining importance in the rehabilitation field …

Reliable detection of human intentions from electroencephalogram (EEG) to improve human-
robot interaction (HRI) has recently gained significant importance. To ensure safe and …

La utilización del potencial de error (ErrP) para autocorregir los comandos erróneos de las
Interfaces Cerebro-Máquina (BMI) ha despertado gran interés, dado que ayuda a …