Brain-computer interfaces (BCIs) allow for communicating intentions by mere brain activity, not involving muscles. Thus, BCIs may offer patients who have lost all voluntary muscle control the only possible way to communicate. Many recent studies have demonstrated that BCIs based on electroencephalography (EEG) can allow healthy and severely paralyzed individuals to communicate. While this appro...

Neuroengineering research over the last two decades has demonstrated promising evidence on use of brain-computer interface (BCI) to enhance functional recovery and independence in individuals with motor impairments. By translating brain activity, BCI bypasses impaired neuromotor system, control computers/machines. BCI-controlled robots are designed for assistance aid paralyzed patients as well ...

This paper investigates P300 features extracted through wavelet transform for BCI systems. Feature extraction is one of the key issues of signal processing for P300 based brain-computer interface systems (BCI). This paper examines and highlights the significance of using wavelets in P300 based BCI systems. We also mention various methods of feature extraction from P300 signals. The analysis sug...

Brain Computer Interface is a technique which allows people to interact with machines independent of muscles. Brain Computer Interface record the electrical signals from the brain and convert the recorded signals into corresponding control signals with the help of specialized computer. The main purpose of Brain Computer Interface is to enable the paralyzed people to communicate with their envir...

A Brain Computer Interface (BCI) creates a new communication channels for disabled peoples, the classical way of steady-state visual evoked potential (SSVEP) based on (BCI) was focusing on multi-frequency and phases. In this study a novel high-speed SSVEP based on BCI, was implemented a new paradigms of SSVEP, which induced by irregular flickering with phase-tagged toward brain activity respons...

Brain-Computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing EEG signals measured in different mental states.  Therefore, choosing suitable features is demanded for a good BCI communication. In this regard, one of the points to be considered is feature vector dimensionality. We present a method of feature reduction us...

BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...

Brain-computer interfaces (BCIs) translate brain activity into signals controlling external devices. BCIs based on visual stimuli can maintain communication in severely paralyzed patients, but only if intact vision is available. Debilitating neurological disorders however, may lead to loss of intact vision. The current study explores the feasibility of an auditory BCI. Sixteen healthy volunteer...

Brain-Computer Interface (BCI) is a fast-growing emergent technology in which researchers aim to build a direct channel between the human brain and the computer. It is a collaboration in which a brain accepts and controls a mechanical device as a natural part of its representation of the body. The BCI can lead to many applications especially for disabled persons. Most of these applications are ...