Introduction. Maintaining and improving communication skills of people with severe motor deficits are the main goals speech therapy. Brain-computer interface systems can be used as a means in this group users, since they allow them to control external devices help brain activity. This assistive technology represents new channel between human computers, or other devices. These translate user's i...

Advance technologies such as brain imaging have started to provide us with the power to interface with human brain directly through some sensors. These sensors have the ability to monitor some of the physical processes that occur within the brain that correspond with certain forms of thought. In these systems, users explicitly manipulate their brain activity instead of using motor movements to ...

Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...

In this study, a novel control algorithm, based on a P300-based brain-computer interface (BCI) is fully developed to control a 2-DoF robotic arm. Eight subjects including 5 men and 3 women perform a 2-dimensional target tracking in a simulated environment. Their EEG (Electroencephalography) signals from visual cortex are recorded and P300 components are extracted and evaluated to perform a real...

A Brain Computer Interface (BCI) system takes and classifies a user’s brain activity into a signal to which a computer can respond. To control a BCI, the user should produce various brain activity patterns which are captured in form of Electroencephalogram (EEG) and converted to commands by identifying the patterns by the system. Such classification was undertaken by various methods, and perfor...