In this paper, we address a method for motor imagery feature extraction for brain computer interface (BCI). The wavelet coefficients were used to extract the features from the motor imagery EEG and the linear discriminant analysis was utilized to classify the pattern of left or right hand imagery movement and rest. The performance of the proposed method was evaluated using EEG data recorded by ...

Brain Computer Interfaces (BCI) can be used for therapeutic purposes to improve voluntary motor control that has been affected post stroke. For this purpose, desynchronization of sensorimotor rhythms of the electroencephalographic signal (EEG) can be used. But it is necessary to study what happens in the affected motor cortex of this people. In this article, we analyse EEG recordings of hemiple...

Brain-Computer Interface (BCI) systems have become one of the valuable research area of ML (Machine Learning) and AI based techniques have brought significant change in traditional diagnostic systems of medical diagnosis. Specially; Electroencephalogram (EEG), which is measured electrical activity of the brain and ionic current in neurons is result of these activities. A brain-computer interfac...

A communication path for people having severe neural disorders is provided by Brain Computer Interaction. The Brain–Computer Interface in an electroencephalogram important and challenging one managing non-stationary EEG signals. signals are more vulnerable to noise artifacts. Motor Imagery-based used as a channel with who have no muscular activity. For well-established accurate BCI system, two ...

The Fifth International Brain-Computer Interface (BCI) Meeting met June 3-7th, 2013 at the Asilomar Conference Grounds, Pacific Grove, California. The conference included 19 workshops covering topics in brain-computer interface and brain-machine interface research. Topics included translation of BCIs into clinical use, standardization and certification, types of brain activity to use for BCI, r...

It was expected to benefit patient with hemiparesis after stroke by extensive arm rehabilitation, to partially regain forearm and hand function. This paper propose a robotic rehabilitation arm in assisting the hemiparetic patient to learn new ways of using and moving their weak arms. In this study, the robotic arm was driven by a somatosensory stimulated brain computer interface (BCI), which is...

Research on non-invasive brain computer interfaces (BCI) has shown that electroencephalograhy (EEG) on-line signal extraction can be used for communication (spelling), computer game playing and for sensorassisted navigation. In this study we attempt to quantify reaching movement performance using EEG and gaze tracking signals. To achieve this the Berlin Brain Computer Interface has been linked ...

Brain computer interface technology, also known as BCI, is a kind of human brain consciousness signal collection, conversion, analysis, interpretation, finally realize the to external control equipment directly send operation command this technology can make do not use muscle pathway feedback, by designated groups or mechanical equipment, complete daily body movements.Although current stage BCI...

Brain Computer Interface (BCI) enable paralyze peoples to interact and control their environment by defining the direct communication between human feelings (brain) and technological aspects (external device). The feature extraction and translation of commands in BCI are the critical tasks, which are the key of BCI system. Using the semantic method will enhance the both of these features. Nowad...

Aim of this article is to clarify the potential use of EEG signal in modern information age. The basic principle of Brain Computer Interface (BCI) lies in the connection of brain waves with output device through some interface. BCI technology represents a communication interface between brain and computer. To sense electric signal from the brain, it is usually used an equipment based on the las...