Brain-computer interfaces
Sequence Learning for Brain Computer Interfaces
... A primary goal for brain computer interfaces (BCIs) is to decode intent from neural signals. Neural signals can be collected by placing electrodes on the scalp, the surface of the brain, or ...
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Introduction: Evolution of Brain-Computer Interfaces
... ) Brain-Computer Interfaces (BCIs) are systems that translate a measure of a user‘s brain activity into messages or commands for an interactive ...a computer screen towards the left or ...
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Recent Advances in Brain-Computer Interfaces
... A brain-computer interface (BCI) is a communi- cation system that translates brain activity into commands for a computer or other ...only brain activity, without using peripheral nerves ...
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Brain-Computer Interfaces using Machine Learning
... and brain neural signals ...appropriate interfaces that will allow human brain to communicate unobtrusively with a computer program and vise versa, will unlock the great potential of the human ...
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CLASSIFICATION OF MOTOR IMAGERY FOR BRAIN-COMPUTER INTERFACES
... Brain-computer interfaces (BCIs) are systems which enable a user to control a device using only his or her brain neural activity [GAP10]. BCIs are proposed as a communication tool for the par- ...
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Designing Guiding Systems for Brain-Computer Interfaces
... Keywords: brain computer interfaces, feedback, feedforward, guiding system, taxonomy, design space, training protocol INTRODUCTION Brain–Computer Interfaces (BCIs) allow ...
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Language Model Applications to Spelling with Brain-Computer Interfaces
... community, Brain-Computer Interfaces (BCIs) have raised great hopes as they provide alternative communication means for persons with disabilities bypassing the need for speech and other motor ...
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An Experiment in Use of Brain Computer Interfaces for Cognitive Researches
... Abstract Brain-Computer Interfaces (BCIs) are systems that are primarily developed for use of paralyzed ...specific brain potentials (P300, steady state evoked potential) and ERD/ERS (Motor ...
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Usage of fuzzy classification algorithms in brain-computer interfaces
... In brain-computer interfaces (BCI), EEG is the most-studied non-invasive com- munication method due to multiple factors, including the relatively low cost, high mobility of the devices and a quick ...
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Electroencephalography (EEG)-based brain computer interfaces for rehabilitation
... The risks of EEG and MEG are minimal. Subjects may feel uncomfortable while the electrodes are attached to their scalp, and they may not like the smell of the paste or the glue remover. The conductive gel sometimes ...
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Towards Usable Electroencephalography-based Brain-Computer Interfaces
... Electroencephalography-based Brain-Computer Inter- faces Abstract Brain-Computer Interfaces (BCIs) are systems that can translate brain activity patterns of a user into messages ...
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Privacy and Brain-Computer Interfaces: method and interim findings
... Brain-Computer Interfaces (BCIs) are emerging technologies that acquire and translate neural data, applying it to the control of other systems (Allison et ...
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Error-related EEG potentials in brain-computer interfaces
... non-invasive brain-computer interfaces that recognize the subject’s voluntary imagination of motor actions and transmits this intention to a device that performs the necessary low-level steps to ...
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Brain–Computer Interfaces for Augmentative and Alternative Communication: A Tutorial
... frequencies for all 36 items with certain technical considerations. For the motor-based BCI, this is an example of a binary-selection virtual keyboard; imagined right hand movements select the right set of letters. RSVP ...
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An overview of research on "passive" brain-computer interfaces for implicit human-computer interaction
... system understands as input” [3]. This kind of interaction can be done via BCI, which in this case is sometimes called “passive BCI” [4][5][6]. This paper provides an overview of the existing and past research on ...
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Detecting the no control state in self paced Brain Computer Interfaces
... 21 Chapter II The self-paced BCI We have seen that, when presented with specific stimuli or performing certain mental tasks, characteristic changes affect cerebral activity. These cortical patterns can be used for ...
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A review of classification algorithms for EEG-based brain–computer interfaces
... 5. Conclusion This paper has surveyed classification algorithms used to design Brain-Computer Interfaces (BCI). These algorithms were divided into five categories: linear classifiers, neural ...
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Using Motor Imagery to Control Brain-Computer Interfaces for Communication
... Brain-computer interfaces (BCI) as assistive devices are designed to provide ac- cess to communication, navigation, locomotion and environmental interaction to individuals with severe motor ...
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Interactive Reading Using Low Cost Brain Computer Interfaces
... Brain Computer Interfaces (BCIs) offer a way of communicating electrical activity pro- duced by a user’s thoughts and intents to a ...Affordable brain-computer interface type technology ...
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Emotional Brain-Computer Interfaces
... in Brain-Computer Interface (BCI) has signif- icantly increased during the last few ...to brain ac- tivity which can provide significant insight into the user’s emotional ...on brain activity ...
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