Parallel man-machine training in development of EEG-based cursor control.

ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System

In recent years, brain-computer interface (BCI) technology has emerged very rapidly. Brain-computer interfaces (BCIs) bring us a new communication interface technology which can translate brain activities into control signals of devices like computers, robots. The preprocessing of electroencephalographic (EEG) signal and translation algorithms play an important role in EEG-based BCIs. In this s...

Expectation-Maximization Method for EEG-Based Continuous Cursor Control

To develop effective learning algorithms for continuous prediction of cursor movement using EEG signals is a challenging research issue in brain-computer interface (BCI). In this paper, we propose a novel statistical approach based on expectation-maximization (EM) method to learn the parameters of a classifier for EEG-based cursor control. To train a classifier for continuous prediction, trials...

Significant improvement in one-dimensional cursor control using Laplacian electroencephalography over electroencephalography.

OBJECTIVE Brain-computer interfaces (BCIs) based on electroencephalography (EEG) have been shown to accurately detect mental activities, but the acquisition of high levels of control require extensive user training. Furthermore, EEG has low signal-to-noise ratio and low spatial resolution. The objective of the present study was to compare the accuracy between two types of BCIs during the first ...

Brain-computer interface (BCI) operation: signal and noise during early training sessions.

OBJECTIVE People can learn to control mu (8-12 Hz) or beta (18-25 Hz) rhythm amplitude in the electroencephalogram (EEG) recorded over sensorimotor cortex and use it to move a cursor to a target on a video screen. The recorded signal may also contain electromyogram (EMG) and other non-EEG artifacts. This study examines the presence and characteristics of EMG contamination during new users' init...

An investigation into time structure of EEG-based cursor control in a brain-computer interface using machine-classification methods FINAL DRAFT