scholarly journals Brain-Computer Interfaces, Open-Source, and Democratizing the Future of Augmented Consciousness

2021 ◽  
Vol 3 ◽  
Author(s):  
Guillermo Bernal ◽  
Sean M. Montgomery ◽  
Pattie Maes
Keyword(s):  
Open Source ◽  
Conflicts Of Interest ◽  
Brain Computer Interfaces ◽  
New Paradigm ◽  
Domain Experts ◽  
Computer Interfaces ◽  
The Future ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
Summary Data

Accessibility, adaptability, and transparency of Brain-Computer Interface (BCI) tools and the data they collect will likely impact how we collectively navigate a new digital age. This discussion reviews some of the diverse and transdisciplinary applications of BCI technology and draws speculative inferences about the ways in which BCI tools, combined with machine learning (ML) algorithms may shape the future. BCIs come with substantial ethical and risk considerations, and it is argued that open source principles may help us navigate complex dilemmas by encouraging experimentation and making developments public as we build safeguards into this new paradigm. Bringing open-source principles of adaptability and transparency to BCI tools can help democratize the technology, permitting more voices to contribute to the conversation of what a BCI-driven future should look like. Open-source BCI tools and access to raw data, in contrast to black-box algorithms and limited access to summary data, are critical facets enabling artists, DIYers, researchers and other domain experts to participate in the conversation about how to study and augment human consciousness. Looking forward to a future in which augmented and virtual reality become integral parts of daily life, BCIs will likely play an increasingly important role in creating closed-loop feedback for generative content. Brain-computer interfaces are uniquely situated to provide artificial intelligence (AI) algorithms the necessary data for determining the decoding and timing of content delivery. The extent to which these algorithms are open-source may be critical to examine them for integrity, implicit bias, and conflicts of interest.

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.

Neural Engineering

2013 ◽  
pp. 713-744
Author(s):  
Charles J. Robinson
Keyword(s):  
Cochlear Implants ◽  
Artificial Limbs ◽  
Neural Engineering ◽  
Brain Computer Interfaces ◽  
Functional Neuromuscular Stimulation ◽  
Neuromuscular Stimulation ◽  
Engineering Applications ◽  
Computer Interfaces ◽  
The Future

This chapter provides a definition for Neural Engineering and briefly describes its history. An introduction to neuroscientific principles is presented to provide a basis for understanding neurally-engineered developments. Specific advances in neuroprosthetics are described, including visual prosthetics, cochlear implants, myoelectric artificial limbs, brain-computer interfaces, and functional neuromuscular stimulation applications. Other neural engineering applications and the future potentials of the field are also considered.

scholarly journals Neurophysiology of motor imagery in neurorehabilitation and BCI technologies

2019 ◽  
Vol 4 (3) ◽  
pp. 30-35
Author(s):  
E. S Korovina ◽  
M. S Segreeva ◽  
A. V Zakharov ◽  
V. F Pyatin
Keyword(s):  
Embodied Cognition ◽  
Motor Imagery ◽  
Study Design ◽  
Neural Correlates ◽  
Brain Computer Interfaces ◽  
Computer Interfaces ◽  
The Future

Over the last few decades, motor imagery was in the focus of the researchers' attention as a prototypical example of "embodied cognition", and as a basis for neuro-rehabilitation and brain-computer interfaces. This review reveals the concept of motor imagery, the factors characterizing and influencing this process, its neural correlates, and the possibilities for using in neurorehabilitation and brain-computer interfaces. The article explains some discrepancies and variability in findings from previous studies, that will help to optimize a study design in accordance with the purpose of each study in the future.

scholarly journals OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain–Computer Interfaces in Real and Virtual Environments

2010 ◽  
Vol 19 (1) ◽  
pp. 35-53 ◽  
Author(s):  
Yann Renard ◽  
Fabien Lotte ◽  
Guillaume Gibert ◽  
Marco Congedo ◽  
Emmanuel Maby ◽  
...  
Keyword(s):  
Open Source ◽  
Virtual Environments ◽  
Open Source Software ◽  
Communication Systems ◽  
Brain Activity ◽  
Visual Programming ◽  
Brain Computer Interfaces ◽  
Software Platform ◽  
Computer Interfaces ◽  
Different Types

This paper describes the OpenViBE software platform which enables researchers to design, test, and use brain–computer interfaces (BCIs). BCIs are communication systems that enable users to send commands to computers solely by means of brain activity. BCIs are gaining interest among the virtual reality (VR) community since they have appeared as promising interaction devices for virtual environments (VEs). The key features of the platform are (1) high modularity, (2) embedded tools for visualization and feedback based on VR and 3D displays, (3) BCI design made available to non-programmers thanks to visual programming, and (4) various tools offered to the different types of users. The platform features are illustrated in this paper with two entertaining VR applications based on a BCI. In the first one, users can move a virtual ball by imagining hand movements, while in the second one, they can control a virtual spaceship using real or imagined foot movements. Online experiments with these applications together with the evaluation of the platform computational performances showed its suitability for the design of VR applications controlled with a BCI. OpenViBE is a free software distributed under an open-source license.

A Study of Frontal Signals in Brain Computer Interfaces: Interpretation of EEG & FNIRS

2020 ◽  
pp. 136-142
Author(s):  
S. Srilekha ◽  
B. Vanathi
Keyword(s):  
Infrared Spectroscopy ◽  
Healthy Subject ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Economic Conditions ◽  
Brain Computer Interfaces ◽  
Functional Near Infrared Spectroscopy ◽  
Computer Interfaces ◽  
Rehabilitation Devices

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.

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