scholarly journals Application of Brain-computer Interfaces in Assistive Technologies

2020 ◽  
Vol 19 (2) ◽  
pp. 277-301
Author(s):  
Filipp Gundelakh ◽  
Lev Stankevich ◽  
Konstantin Sonkin ◽  
Ganna Nagornova ◽  
Natalia Shemyakina
Keyword(s):  
Brain Computer Interface ◽  
Assistive Technologies ◽  
Computer Interface ◽  
Support Vector ◽  
Bioelectrical Activity ◽  
Brain Computer Interfaces ◽  
Technology Application ◽  
Riemann Geometry ◽  
Computer Interfaces ◽  
Robotic Devices

In the paper issues of brain-computer interface applications in assistive technologies are considered in particular for robotic devices control. Noninvasive brain-computer interfaces are built based on the classification of electroencephalographic signals, which show bioelectrical activity in different zones of the brain. Such brain-computer interfaces after training are able to decode electroencephalographic patterns corresponding to different imaginary movements and patterns corresponding to different audio-visual stimulus. The requirements which must be met by brain-computer interfaces operating in real time, so that biological feedback is effective and the user's brain can correctly associate responses with events are formulated. The process of electroencephalographic signal processing in noninvasive brain-computer interface is examined including spatial and temporal filtering, artifact removal, feature selection, and classification. Descriptions and comparison of classifiers based on support vector machines, artificial neural networks, and Riemann geometry are presented. It was shown that such classifiers can provide accuracy at the level of 60-80% for recognition of imaginary movements from two to four classes. Examples of application of the classifiers to control robotic devices were presented. The approach is intended both to help healthy users to perform daily functions better and to increase the quality of life of people with movement disabilities. Tasks to increase the efficiency of technology application are formulated.

scholarly journals Brain–Computer Interface Spellers for Communication: Why We Need to Address Their Security and Authenticity

2020 ◽  
Vol 10 (3) ◽  
pp. 139
Author(s):  
Anirban Dutta
Keyword(s):  
Research And Development ◽  
Information Transfer ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Brain Computer Interfaces ◽  
Transfer Rates ◽  
Computer Interfaces ◽  
Significant Research

Brain–Computer Interfaces (BCI) have witnessed significant research and development in the last 20 years where the main aim was to improve their accuracy and increase their information transfer rates (ITRs), while still making them portable and easy to use by a broad range of users [...]

The prospects of brain — computer interface applications in children

Open Medicine ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Emilia Mikołajewska ◽  
Dariusz Mikołajewski
Keyword(s):  
Brain Computer Interface ◽  
Contemporary Literature ◽  
Computer Interface ◽  
Neurological Deficits ◽  
Brain Computer Interfaces ◽  
Motor Functions ◽  
Computer Interfaces

AbstractThe restoring of motor functions in adults through brain-computer interface applications is widely studied in the contemporary literature. But there is a lack of similar analyses and research on the application of brain-computer interfaces in the neurorehabilitation of children. There is a need for expanded knowledge in the aforementioned area. This article aims at investigating the extent to which the available opportunities in the area of neurorehabilitation and neurological physiotherapy of children with severe neurological deficits using brain-computer interfaces are being applied, including our own concepts, research and observations.

Brain-Computer Interface for Cyberpsychology

2019 ◽  
pp. 102-122
Author(s):  
Yujia Peng
Keyword(s):  
General Population ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Clinical Population ◽  
Human Computer Interface ◽  
Brain Computer Interfaces ◽  
User Experiences ◽  
Future Directions ◽  
Computer Interfaces ◽  
The Future

As a new way of implementing human-computer interface, brain-computer interfaces (BCI) dramatically changed the user experiences and have broad applications in cyber behavior research. This chapter aims to provide an overall picture of the BCI science and its role in cyberpsychology. The chapter starts with an introduction of the concept, components, and the history and development of BCI. It is then followed by an overview of neuroimaging technologies and signals commonly used in BCI. Then, different applications of BCI on both the clinical population and the general population are summarized in connection with cyberpsychology. Specifically, applications include communication, rehabilitation, entertainments, learning, marketing, and authentication. The chapter concludes with the future directions of BCI.

The Application of BCI Technology in Android RPG Game

2014 ◽  
Vol 496-500 ◽  
pp. 2015-2018
Author(s):  
Jing Hai Yin ◽  
Zheng Dong Mu ◽  
Jian Feng Hu
Keyword(s):  
Brain Computer Interface ◽  
Human Interaction ◽  
Research Interest ◽  
Computer Interface ◽  
Brain Computer Interfaces ◽  
Computer Interfaces ◽  
Brain Signals

To enhance human interaction with machines, research interest is growing to develop a Brain-Computer Interface (BCI), which allows communication of a human with a machine only by use of brain signals. In this paper, one type of android RPG game was designed for application of brain computer interfaces.

The use of electroencephalography as a future-oriented brain-computer interface. Current concepts, solutions, technologies that allow communication through thoughts

2019 ◽  
Vol 0 (8/2018) ◽  
pp. 47-52
Author(s):  
Karol Sosnowski
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Research Centers ◽  
Brain Computer Interfaces ◽  
Human Communication ◽  
High Data ◽  
New Methods ◽  
Computer Interfaces ◽  
Data Rates ◽  
The World

Nowadays, brain-computer interfaces are gaining more and more popularity. Research centers develop new methods of human communication with devices through thoughts. There are many methods used for this kind of interfaces, however, the most widespread is electroencephalography (EEG). There are many reasons for this fact, it is a method that is relatively cheap compared to other methods. Less complex technical tools and apparatus are required to operate it. Another advantage of this method, unlike others, is its non-invasiveness. Unfortunately, current brain-computer interfaces do not offer high data rates. However, time plays a smaller role when we are dealing with a disabled person who regains the ability to communicate with the world through the interface controlled by thoughts. This paper is the beginning of a series of papers in which the author will describe in detail the elements of brain-computer interfaces, as well as improvements that can be applied to them to improve their properties.

scholarly journals Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

2017 ◽  
Vol 4 (1-2) ◽  
pp. 3-36 ◽  
Author(s):  
Jane E. Huggins ◽  
Christoph Guger ◽  
Mounia Ziat ◽  
Thorsten O. Zander ◽  
Denise Taylor ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Brain Computer Interfaces ◽  
Computer Interfaces ◽  
Sixth International

Brain–Computer Interfaces in Neurorecovery and Neurorehabilitation

2021 ◽  
Author(s):  
Michael J. Young ◽  
David J. Lin ◽  
Leigh R. Hochberg
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Personal Goals ◽  
Neurologic Disease ◽  
Brain Computer Interfaces ◽  
Future Directions ◽  
Computer Interfaces ◽  
Neurologic Function

AbstractRecent advances in brain–computer interface technology to restore and rehabilitate neurologic function aim to enable persons with disabling neurologic conditions to communicate, interact with the environment, and achieve other key activities of daily living and personal goals. Here we evaluate the principles, benefits, challenges, and future directions of brain–computer interfaces in the context of neurorehabilitation. We then explore the clinical translation of these technologies and propose an approach to facilitate implementation of brain–computer interfaces for persons with neurologic disease.

scholarly journals Understanding and Proposing a Design Rationale of Digital Games based on Brain-Computer Interface: Results of the AdmiralMind Battleship Study

2014 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Alessandro Luiz Stamatto Ferreira ◽  
Juvane Nunes Marciano ◽  
Leonardo Cunha de Miranda ◽  
Erica Esteves Cunha de Miranda
Keyword(s):  
Literature Review ◽  
Interaction Design ◽  
Brain Computer Interface ◽  
Digital Games ◽  
Computer Interface ◽  
Design Rationale ◽  
Brain Computer Interfaces ◽  
Design Decisions ◽  
Computer Interfaces

Brain-Computer Interfaces (BCIs) present great potential to the field of digital games, though the design of this kind of interface is still a challenge for most of the game designers and developers. In this work it is presented a literature review about digital games based on BCI, aiming to analyze the interaction design of these games, to identify the approaches applied, limitations and implications related to BCIs design. After the review, we accomplish a reflection about the design decisions involved in the development of digital games based on BCI. This approach leads to the construction of a design rationale developed to support the process of BCI-based games, with its use established on the design of a battleship game based on BCI. As contributions of this work, we highlight the literature review, design rationale and results of the study accomplished.

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