Brain-computer interfaces (BCI) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. These systems do not use normal neuromuscular output pathways. Actually, the principal goal of BCI systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic l...

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...

The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is proposed on the basis of multimodal augmented reality and brain-computer interaction for various applications: in disabilities studies, education, home care, health care, etc. The several use cases of multimodal augmen...

A Brain-Computer Interface (BCI) allows a user to control a computer by pure brain activity. Due to the nonstationarity of the recorded brain signals, the BCI performance tends to decrease over time. Recently, adaption of the BCI has been proposed as a means to counter non-stationarity and help to stabilize the BCI performance. Since most adaption methods for BCI are analysed in an offline sett...

Increased demands for applications of brain computer interface (BCI) have led to growing attention towards their low-power embedded processing architecture design. Most clinical, wellness, and entertainment applications of BCI require wearable and portable devices. Better understanding of application characteristics in terms of computational complexity, memory usage, and power consumption can l...

Brain Computer Interfaces (BCI) are a natural extension to Human Computer Interaction (HCI) technologies. BCI is especially useful for people suffering from diseases, such as Amyotrophic Lateral Sclerosis (ALS) which cause motor disabilities in patients. To evaluate the effectiveness of BCI in different paradigms, the need of benchmark BCI datasets is increasing rapidly. Although, such datasets...

Brain Computer Interface (BCI) has been recently increased in research. Functional Near Infrared Spectroscope (fNIRs) is one the latest technologies which utilize light in the near-infrared range to determine brain activities. Because near infrared technology allows design of safe, portable, wearable, non-invasive and wireless qualities monitoring systems, fNIRs monitoring of brain hemodynamics...

Brain Computer Interface (BCI) systems have gained great visibility in the last years for the possibility they give to severly disabled people to have a normal interaction with the external environment. However every group implements its own BCI system and this leads to a lack of a common language concerning methods, names of BCI components, file formats, tools etc..., with an obvious difficult...

The electrode is the crucial component of Brain-Computer Interface (BCI), and key for development BCI technology. Compared with non-intrusive electrodes intrusive electrodes, semi-invasive...