Brain Computer Interface (BCI) is often directed at mapping, assisting, or repairing human cognitive or sensory-motor functions. Electroencephalogram (EEG) is a non-invasive method of acquisition brain electrical activities. Noises are impure the EEG recorded signal due to the physiologic and extra-physiologic artifacts. There are several techniques are intended to manipulate the EEG recorded s...

An electroencephalography (EEG) based brain computer interface (BCI) system with the ability of choosing among 4 options reliably every 1 second has been developed. The system has been used to control a tele-operated robot or wheelchair. The commands from the BCI system have been used as high and low level commands to control the tele-operated robot/wheelchair. High level BCI commands take adva...

This study provides a comprehensive test of the head–related impulse response (HRIR) to an auditory spatial speller brain–computer interface (BCI) paradigm, including a comparison with a conventional virtual headphone–based spatial auditory modality. Five BCI–naive users participated in an experiment based on five Japanese vowels. The auditory evoked potentials obtained produced encouragingly g...

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...

Over the past two decades, much progress has been made in the rapidly evolving field of Brain Computer Interface (BCI). This paper presents a novel concept: a BCI-simulator, which has been developed for the Hex-O-Spell interface, using the sensory motor rhythms (SMR) paradigm. With the simulator, it is possible to evaluate how the model parameters such as error classifications, delay between cl...

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 ...

A brain-computer interface (BCI) based on electroencephalography (EEG) is a promising technology for enhancing virtual reality (VR) applications-in particular, gaming. We focus the so-called P300-BCI, stable and accurate BCI paradigm relying recognition of positive event-related potential (ERP) occurring in EEG about 300 ms post-stimulation. implemented basic version such displayed an ordinary ...

The application of Brain Computer Interface (BCI) technology in stroke rehabilitation represents one of the most challenging matters in the BCI field. With the aim of developing a specific BCI system for stroke rehabilitation of the upper limb we monitored the EEG sensorimotor reactivity to actual and imaged hand grasping in a group of stroke patients consecutively enrolled from a rehabilitatio...

Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain-computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles ...

Recently, the N-way partial least squares (NPLS) approach was reported as an effective tool for neuronal signal decoding and brain-computer interface (BCI) system calibration. This method simultaneously analyzes data in several domains. It combines the projection of a data tensor to a low dimensional space with linear regression. In this paper the L1-Penalized NPLS is proposed for sparse BCI sy...