This paper presents the design and development of a complete hardware and software solution for a brain computer interface (BCI). It consists of a non-intrusive multiple channel data acquisition device which captures the electrical brain wave signals and passes the data to a computer. The computer then uses signal processing and machine learning algorithms to identify patterns in the signals re...

In this study we focus on improvement performance of a cue based Motor Imagery Brain Computer Interface (BCI). For this purpose, data fusion approach is used on results of different classifiers to make the best decision. At first step Distinction Sensitive Learning Vector Quantization method is used as a feature selection method to determine most informative frequencies in recorded signals and ...

Abstract Rehabilitation medicine has developed rapidly in recent years. Brain computer interface and functional electrical stimulation are very cutting-edge technologies this field. Because brain provides a real-time operation platform for patients to operate their limbs according intention stimulation, the research on BCI based FES gradually increased This paper discusses current development s...

Mental fatigue is a psychophysical condition with significant adverse effect on daily life, compromising both physical and mental wellness. We are experiencing challenges in this fast-changing environment, problems becoming more prominent. This demands an urgent need to explore effective accurate automated system for timely detection. Therefore, we present systematic review of brain-computer in...

Traditional brain-computer interface (BCI) research has forked to consider not only disabled patients but able-bodied users as well. Among various biosignals, electroencephalogram (EEG) is a cheap, portable and popular means of accessing brain activity. As a result, EEG-based BCIs are gradually being used in everyday applications, including games. Just as any computer product, human-computer in...

common spatial pattern (csp) is a method commonly used to enhance the effects of event‑related desynchronization and event‑related synchronization present in multichannel electroencephalogram‑based brain‑computer interface (bci) systems. in the present study, a novel csp sub‑band feature selection has been proposed based on the discriminative information of the features. besides, a distinction ...

We aim at an augmentation of communication abilities of locked-in syndrome (LIS) patients by creating a brain-computer interface (BCI) which can control a computer or other device by using only brain activity. As a method, we use a stimulus–driven BCI based on vibration stimuli delivered via a gaming pad to the user’s back. We identify P300 responses from brain activity data in response to the ...

The article describes the practical use of Unity technology in neurogaming. For this purpose, and brain–computer interface (BCI) based on Emotiv EPOC + NeuroHeadset device. process creating game world test results for a device BCI as control created are also presented. was graphics engine Visual Studio environment C#. presented is called “NeuroBall” due to player’s object, which big red ball. w...

Motor imagery-based brain-computer interface (BCI) is a communication interface between an external machine and the brain. Many kinds of spatial filters are used in BCIs to enhance the electroencephalography (EEG) features related to motor imagery. The approach of channel selection, developed to reserve meaningful EEG channels, is also an important technique for the development of BCIs. However...

We report on an extended robot control application of a contact-less and airborne ultrasonic tactile display (AUTD) stimulus-based brain-computer interface (BCI) paradigm, which received last year The Annual BCI Research Award 2014. In the award winning human communication augmentation paradigm the six palm positions are used to evoke somatosensory brain responses, in order to define a novel co...