Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …

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 …

A class of Electroencephalogram (EEG) generated when a person is present with a stimuli
are Error-related potentials (ErrP). Classification of ErrP revolutionized the domain of Brain …

Shared control and shared autonomy play an important role in assistive technologies,
allowing the offloading of the cognitive burden required for control from the user to the …

Nowadays, the brain-computer interface (BCI) systems attract much more attention than
before, yet they have not found their ways into our lives since their accuracy is not satisfying …

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 …

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

This work presents an implementation of Error-related Potential (ErrP) detection to produce
progressive adaptation of a motor imagery task classifier. The main contribution is in the …

Error processing in the human brain is characterized by a distinct neural response that is
elicited when the outcome of an event is not the same as expected. This response is known …

A new approach that includes the detection of Error Related Potentials (ErrP) for self-tuning
wrong commands in MI-BMI, with the aim of improving the accuracy of a lower limb …