EEG-based brain computer interface (BCI) provides a new communication channel between the human brain and a computer. The classification of EEG data is an important task in EEG-based BCI. In this paper we present a new modification on classic "Peak Picking" to make a better detection for a specific pattern in EEG. The new method shows a significant improvement in P300 detection which is a commo...

Brain-Computer Interface (BCI) uses brain’s neural activity to interact with others or to control machines, prosthetic limbs, or robots without any direct physical movements. Electroencephalography (EEG) measures the electrical signals generated by the neurons in the brain, by placing electrodes along the scalp. BCI helps disabled individuals by providing a new channel of communication with the...

The Brain Computer Interface (BCI) has a great impact on mankind. Many researchers have been trying to employ different classifiers figure out the human brain's thoughts accurately. In order overcome poor performance of single classifier, some used combined classifier. Others delete redundant information in channels before applying classifier as they thought it might reduce accuracy BCI helps c...

Multi-modal techniques have received increasing interest in the neuroscientific and brain computer interface (BCI) communities in recent times. Two aspects of multi-modal imaging for BCI will be reviewed. First, the use of recordings of multiple subjects to help find subject-independent BCI classifiers is considered. Then, multi-modal neuroimaging methods involving combined electroencephalogram...

Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI) which enables paralyzed people to directly communicate with and control external devices, due its portability, high temporal resolution, ease of use low cost. Of various EEG paradigms, steady-state visual evoked potential (SSVEP)-based BCI system uses multiple stimuli (such as LEDs or boxes on a computer scre...

To date, the application of brain computer interface (BCI) technology in rehabilitation represents one of the most challenging matters in the BCI filed. With the aim of developing a specific BCI system for speech language rehabilitation, this paper describes framework of a novel BCI system designed for clinical settings in speech language rehabilitation. It presents an overview of the technolog...

During the last years interest has been growing to find an effective communication channel which translates human intentions into control signals for a computer, the so called Brain-Computer Interface (BCI). One main goal of research is to help patients with severe neuromuscular disabilities by substituting normal motor outputs. Various cortical processes were identified which are suitable for ...

Games that use brainwaves via brain-computer interface (BCI) devices, to improve brain functions are known as BCI serious games. Due to the difficulty of developing BCI serious games, various BCI engines and authoring tools are required, and these reduce the development time and cost. However, it is desirable to reduce the amount of technical knowledge of brain functions and BCI devices needed ...

Brain – computer interface (BCI) systems are typically used to provide disabled users with the functionality normally afforded by conventional interfaces. As BCI progress continues, BCIs may become useful for healthy users in specific situations. This paper briefly reviews existing BCI applications for healthy users and discusses several relevant considerations. Many potential applications are ...

Brain-computer interfaces (BCIs) allow a user to control a computer application by brain activity as measured, e.g., by electroencephalography (EEG). After about 30years of BCI research, the success of control that is achieved by means of a BCI system still greatly varies between subjects. For about 20% of potential users the obtained accuracy does not reach the level criterion, meaning that BC...