⎯The study of robot animals based on brain-computer interface (BCI) technology is an important field in robots and neuroscience at present. In this paper, the development status at home and abroad of the motion control of robot based on BCI and principle of robot animals are introduced, then a new animals’ behavior control method by photostimulation is presented. At last, the application prospe...

Motor-based brain-computer interface (BCI) use is a learned skill that has been shown to involve multiple cortical areas, though it only explicitly requires modulation of a small area of cortical tissue. The roles being played by these other areas have not yet been determined. In this study, using an electrocorticographic (ECoG) model, we apply a novel computational approach to quantifying the ...

This study reports on a head related impulse response (HRIR) application to an auditory spatial brain-computer interface (BCI) speller paradigm. Six experienced and five BCInaive users participated in an experimental spelling set up based on five Japanese vowels. Obtained auditory evoked potentials resulted with encouragingly good and stable P300-responses in online BCI experiments. Our case st...

this paper describes the system design of a portable and economical mu rhythm based brain computer interface which employs cypress semiconductors programmable system on chip (psoc). by carrying out essential processing on the psoc, the use of an extra computer is eliminated, resulting in considerable cost savings. microsoft visual studio 2005 and psoc designer 5.01 are employed in developing th...

A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively. We call this process BCI learning, and it often requires significant effort and time. Therefore, it is important to study this process and develop novel and ef...

This paper investigates a method to generate personal identification number (PIN) using brain activity recorded from a single active electroencephalogram (EEG) channel. EEG based biometric to generate PIN is less prone to fraud and the method is based on the recent developments in brain-computer interface (BCI) technology, specifically P300 based BCI designs. Our perfect classification accuraci...

Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review d...

This paper proposes the auditory evoked potential (SSAEP) stimulation technique as well as its detection algorithm to replace the steady state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system during the visual fatigue period. Optimal speaker position for two commands SSAEP-based BCI system and the possible electrode positions are investigated. With the proposed system...

23.1 Abstract A brain-computer interface (BCI) is a closed-loop system with feedback as one important component. Dependent on the BCI application either to establish communication in patients with severe motor paralysis, to control neuroprosthesis, or to perform neurofeed-back, information is visually fed back to the user about success or failure of the intended act. One way to realize feedback...

Historically, the main goal of Brain-Computer Interface (BCI) research was, and still is, to design communication, control and motor substitution applications for patients with severe disabilities [75]. These last years have indeed seen tremendous advances in these areas with a number of groups having achieved BCI control of prosthetics, wheelchairs and spellers, among other [49]. More recently...