Current Trends in Brain���Computer Interface (BCI) Research and Development (original) (raw)
Literature Review Brain Computer Interface System: Challenges and Development
The human brain is a very complex structure. Over the past few decades, many researchers have established the connection between the human brain and digital devices. In this review researchers explained the new technology methods which directly interface the human brain with digital computer devices and controlled them by capturing electric signals which are generated in a brain.
Guest editorial brain-computer interface technology: a review of the second international meeting
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2000
This paper summarizes the Brain-Computer Interfaces for Communication and Control, The Second International Meeting, held in Rensselaerville, NY, in June 2002. Sponsored by the National Institutes of Health and organized by the Wadsworth Center of the New York State Department of Health, the meeting addressed current work and future plans in brain-computer interface (BCI) research. Ninety-two researchers representing 38 different research groups from the United States, Canada, Europe, and China participated. The BCIs discussed at the meeting use electroencephalographic activity recorded from the scalp or single-neuron activity recorded within cortex to control cursor movement, select letters or icons, or operate neuroprostheses. The central element in each BCI is a translation algorithm that converts electrophysiological input from the user into output that controls external devices. BCI operation depends on effective interaction between two adaptive controllers, the user who encodes his or her commands in the electrophysiological input provided to the BCI, and the BCI that recognizes the commands contained in the input and expresses them in device control. Current BCIs have maximum information transfer rates of up to 25 b/min. Achievement of greater speed and accuracy requires improvements in signal acquisition and processing, in translation algorithms, and in user training. These improvements depend on interdisciplinary cooperation among neuroscientists, engineers, computer programmers, psychologists, and rehabilitation specialists, and on adoption and widespread application of objective criteria for evaluating alternative methods. The practical use of BCI technology will be determined by the development of appropriate applications and identification of appropriate user groups, and will require careful attention to the needs and desires of individual users.
A study on recent trends in the field of Brain Computer Interface (BCI
Since 1969, many scientist has started to know about Brain Computer interface technology as a new platform for those with neuromuscular disorder that confine them from using this common rising methods. It gives a direct communication between the brain and a computer or any external devices. Brain Computer Interface offers a huge scope by strengthening or by decreasing human working capability. It has many applications in various fields such as robotics, gaming, neuroscience etc. A brain-computer interface, also known as a brain-machine interface (BMI).It is a direct communication path between the brain's electrical activity and an external device. It can occur through many stages, firstly the user encodes his or her instructions in the electrophysiological input which is provided to BCI then BCI recognize that command and express it in device control. BCI can do all the task properly when Signal acquisition, translation algorithm and user training are fully updated. This device can help millions of physically disabled people to spend their life as regular person.
Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Brain Sciences
Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing numerous tools and methods for brain signal acquisition and processing. Such a spectacular progress would not be achievable without accompanying technological development to equip the researchers with the proper devices providing what is absolutely necessary for any kind of discovery as the core of every analysis: the data reflecting the brain activity. The common effort has resulted in pushing the whole domain to the point where the communication between a human being and the external world through BCI interfaces is no longer science fiction but nowadays reality. In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. We mention...
Brain--computer interface (BCI)
Proceedings of the 10th asia pacific conference on Computer human interaction - APCHI '12, 2012
The P300 speller is a standard paradigm for brain-computer interfacing (BCI) based on electroencephalography (EEG). It exploits the fact that the user's selective attention to a target stimulus among a random sequence of stimuli enhances the magnitude of the P300 evoked potential. The present study questions the necessity of using random sequences of stimulation. In two types of experimental runs, subjects attended to a target stimulus while the stimuli, four in total, were each intensified twelve times, in either random order or deterministic order. The 32-channel EEG data were analyzed offline using linear discriminant analysis (LDA). Similar classification accuracies of 95.3% and 93.2% were obtained for the random and deterministic runs, respectively, using the data associated with 3 sequences of stimulation. Furthermore, using a montage of 5 posterior electrodes, the two paradigms attained identical accuracy of 92.4%. These results suggest that: (a) the use of random sequences is not necessary for effective BCI performance; and (b) deterministic sequences can be used in some BCI speller applications.
Brain-Computer Interfacing [In the Spotlight
IEEE Signal Processing Magazine, 2000
Recently, CNN reported on the future of brain-computer interfaces (BCIs) . Brain-computer interfaces are devices that process a user's brain signals to allow direct communication and interaction with the environment. BCIs bypass the normal neuromuscular output pathways and rely on digital signal processing and machine learning to translate brain signals to action ( ). Historically, BCIs were developed with biomedical applications in mind, such as restoring communication in completely paralyzed individuals and replacing lost motor function. More recent applications have targeted non-disabled individuals by exploring the use of BCIs as a novel input device for entertainment and gaming.
International Assessment of Research and Development in Brain-Computer Interfaces. WTEC Panel Report
2007
: Brain-computer interface (BCI) research deals with establishing communication pathways between the brain and external devices. BCI systems can be broadly classified depending on the placement of the electrodes used to detect and measure neurons firing in the brain: in invasive systems, electrodes are inserted directly into the cortex; in noninvasive systems, they are placed on the scalp and use electroencephalography or electrocorticography to detect neuron activity. This WTEC study was designed to gather information on worldwide status and trends in BCI research and to disseminate it to government decision makers and the research community. The study reviewed and assessed the state of the art in sensor technology, the biotic/abiotic interface and biocompatibility, data analysis and modeling, hardware implementation, systems engineering, functional electrical stimulation, noninvasive communication systems, and cognitive and emotional neuroprostheses in academic research and industry.
Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier
Brain-Computer Interfaces, 2022
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Brain-Computer Interfaces, 2017
The conference included 28 workshops covering topics in BCI and brain-machine interface research. Topics included BCI for specific populations or applications, advancing BCI research through use of specific signals or technological advances, and translational and commercial issues to bring both implanted and non-invasive BCIs to market. BCI research is growing and expanding in the breadth of its applications, the depth of knowledge it can produce, and the practical benefit it can provide both for those with physical impairments and the general public. Here we provide summaries of each workshop, illustrating the breadth and depth of BCI research and highlighting important issues and calls for action to support future research and development.