Brain-Computer Interfaces (BCI) research are emerging in the last few years providing non-invasive, wireless and low-cost ElectroEncephaloGraphy (EEG) devices. Scientific papers are published almost every day providing new BCI solutions. Follow this evolution, shrouded in neuroscience, with a readout accessible to everyone.
The scientific study "Brain-Computer Interfaces by Electrical Cortex Activity: Challenges in Creating a Cognitive System for Mobile Devices Using Steady-State Visually Evoked Potentials" is referenced on the EMOTIV company website.
Theindependent studypresents the BCI results obtained by reading the concentration state and SSVEP using an EPOC+ equipment.
If you are looking for the latest research and reviews about BCI/BMI this site can be one of the best options offering you many results being almost of them with public access.
With the uninterrupted advancement of technology, BCIs also come up with new solutions that are increasingly available outside laboratories or hospital environments. The company Pantech Solutions has a recent article dedicated to this subject. As a few examples we have:
Brain Controlled Wheel Chair;
Brain Keyboard;
Drowsy Driver Detection;
Emotion Recognition;
Brainwaves for Neuromarketing;
Brain Controlled Automatic Braking System;
Meditation Stoplight.
Press here to read the Top 25 BCI Projects 2018 published by the Pantech Solutions.
As most readers of this blog knows, gTEC is an Austrian company dedicated for several years to the BCI research. At present it has a very wide catalog of EEG equipment as well as signal processing software. As a user of these company solutions and also in the support that I have always obtained from the technical team I consider gTEC an excellent investment option in BCI research area.
An interesting opportunity for research scholarship starting at 2019 is available to post-graduate researchers that are planning to go to Switzerland to do research at doctoral or post-doctoral level. Only candidates nominated by an academic mentor will be considered and must be born after 1982.
Each year the Swiss Confederation awards Government Excellence Scholarships to promote international exchange and research cooperation between Switzerland and over 180 other countries. Recipients are selected by the awarding body, the Federal Commission for Scholarships for Foreign Students (FCS).
The scholarship amounts to a monthly payment of CHF 1,920;
Scholarship holders from outside continental Europe receive a flight allowance (lump sum) for a ticket back to their country of origin (provided at the end of the scholarship);
Special CHF 300 housing allowance (paid once at the beginning of the scholarship).
A very interesting 30 minutes presentation about BCI / Machine Learning and NeuroScience explained by Professor Aaron Batista.
When we learn, the brain changes at nearly every level of organization. Synapses form and strengthen, individual neurons change their tuning properties, and cortical maps expand. My research examines how learning alters the coordinated activity of populations of neurons. This is a particularly important level at which to study learning because it is the action of populations of neurons that drive behavior, generate perceptions, and undergird our cognition.
In the 7th International BCI meeting at Asilomar, California - USA, many papers presentations took place during the congress. This PDF provided by BCI Society, with more than 200 pages, describes a resume of each poster and exhibitor demonstrations divided by the following themes:
Visual evoked potential-based brain–computer interfaces (BCIs) have been widely investigated because of their easy system configuration and high information transfer rate (ITR). However, the uncomfortable flicker or brightness modulation of existing methods restricts the practical interactivity of BCI applications. In our study, a flicker-free steady-state motion visual evoked potential (FF-SSMVEP)-based BCI was proposed. Ring-shaped motion checkerboard patterns with oscillating expansion and contraction motions were presented by a high-refresh-rate display for visual stimuli, and the brightness of the stimuli was kept constant.
Compared with SSVEPs, few harmonic responses were elicited by FF-SSMVEPs, and the frequency energy of SSMVEPs was concentrative. These FF-SSMVEPs evoked “single fundamental peak” responses after signal processing without harmonic and subharmonic peaks. More stimulation frequencies could thus be selected to elicit more responding fundamental peaks without overlap with harmonic peaks. A 40-target online SSMVEP-based BCI system was achieved that provided an ITR up to 1.52 bits per second (91.2 bits/min), and user training was not required to use this system. This study also demonstrated that the FF-SSMVEP-based BCI system has low contrast and low visual fatigue, offering a better alternative to conventional SSVEP-based BCIs.
Brain-Computer Interfaces (BCI) are systems which provide real-time interaction through brain activity, bypassing traditional interfaces such as keyboard or mouse. A target application of BCI is to restore mobility or autonomy to severely disabled patients. In BCI, new modes of perception and interaction come into play, which users must learn, just as infants learn to explore their sensorimotor system. Feedback is central in this learning. From the point of view of the system, features must be extracted from the brain activity, and translated into commands. (...) It is for instance possible to monitor the brain's reaction to the BCI outcome. In this talk I will present some of the current machine learning methods which are used in BCI, and the adaptation of BCI to users' needs.
It is the European Commission's primary public repository and portal to disseminate information on all EU-funded research projects and their results in the broadest sense. The website and repository include all public information held by the Commission (project factsheets, publishable reports and deliverables), editorial content to support communication and exploitation (news, events, success stories, magazines, multilingual "results in brief" for the broader public) and comprehensive links to external sources such as open access publications and websites.
If you want to know all the European Research Projects about a specified area, as "BCI" or "EEG", you can use the Community Research and Development Information Service (CORDIS).
For example, to get all the results containning BCI, written in english, from September, 1 - 2017, type in the search field "('BCI') AND language='en' AND contentUpdateDate>=2017-09-01" or just use the "advanced search" option.
PhyCS is the annual meeting of the physiological interaction and computing community, and serves as the main international forum for engineers, computer scientists and health professionals, interested in outstanding research and development that bridges the gap between physiological data handling and human-computer interaction.
PhyCS brings together people interested in creating novel interaction devices, adaptable interfaces, algorithms and tools, through the study, planning, and design of interfaces between people and computers that are supported by multimodal biosignals.
The 6th International BCI Meeting was held 30 May–3 June 2016 at the
Asilomar, California, USA. 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. To download the complete OpenAccess document in PDF format press here.
The School of Computer Science and Electronic Engineering from the University of Essex - UK, is looking for Professor in BCI and neural engineering.
As part of the continued expansion of the School, we are seeking to appoint two Professorships in two of the four areas of specialism in the school. We are also recruiting in the areas of:
Artificial Intelligence and Computer Games
Cyber Physical Systems
Human Language Technology/Natural Language Processing.
The successful candidate will have a PhD in a relevant discipline and relevant academic expertise in a related area. You will have a proven track record of internationally excellent research relevant to the post, a strong track record of published academic output at international levels of recognition, success in raising grant income appropriate to the research discipline, and a sustained record of effectiveness in relation to teaching and learning at both undergraduate and postgraduate levels.
Our aim was the development and validation of a modular signal processing and classification application enabling
online EEG signal processing on off-the-shelf mobile Android devices. The software application SCALA
(Signal ProCessing and Classification on Android) supports a standardized communication interface to exchange information
with external software and hardware. Approach. In order to implement a closed-loop BCI on the
smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data
processing, classification, and delivery of feedback to the user. We have implemented the open source signal processing
application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA
with a well-established auditory selective attention paradigm and report above chance level classification results for all participants.
Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well
as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. Significance. We
present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can
easily implement other paradigms.
The Donders Research Group from Radboud University created a BCI/EEG platform which aims high accuracy, speed reaction and user-friendly. The main features improved are CCA-based Reconvolution, Dynamic stopping, Zero-training, Asynchronous, Headsets, Adaptive and Applications.
We found a method that turns BCI into plug and play. The first button you look at will take the system a bit longer to figure out, taking about 30 seconds. Then the second button goes down to 10 seconds. Then the 3rd-4th is down to 1-2 seconds. A person can get up to 1 button per second.
The headband uses dry electrodes, so we do not have to use water.
In the Noise-Tagging project we utilize pseudo-random noise-codes as stimulation sequences (i.e., stimuli are tagged with noise) for evoked Brain BCI. These so-called noise-tags exhibit a spread-spectrum signal and when applied as stimuli, these evoke Broad-Band Evoked Potentials (BBEP) visible in the EEG. We have designed a generative method – Reconvolution – which combines both deconvolution and convolution to learn and predict responses to these noise-tags. Specifically, adhering to the superposition hypothesis, the complex BBEP can be decomposed into a summation of time-shifted versions of a/some transient response(s).
OpenViBE is a free software platform dedicated to design, process and classify EEG data to be used in brain-computer interfaces. The package includes some tools to create and run custom applications (drag & drop), it is compatible with many EEG devices and demo programs are ready for use. Programming in Python is also possible.
OpenVibe is, in my opinion, one of the best software platform in BCIs so, if you want to learn how to use it, the tutorial from MENSIA enterprise is the best way to start.
OpenViBE Consortium is the future management and funding structure for OpenViBE. Interested parties can join the consortium as members or donate to it. The consortium will be a non-profit that uses its funds to hire dedicated engineers. The engineers in turn develop the platform to directions that are of interest to the consortium members.
Neurotechnology shows a very high potential of enhancing human activities, involving technologies such as neural rehabilitation, neural prosthesis, neuromodulation, neurosensing and diagnosis, and other combinations of neurological and biomedical knowledge with engineering technologies.
Congress Areas
AREA 1: NEURAL REHABILITATION AND NEUROPROSTHETICS
Assistive Technologies
Telerehabilitation
Virtual Reality Tools
Augmentative and Alternative Communication
Biofeedback Therapy
Brain/Neural Computer Interfaces
Clinical and Social Impact of Neurotechnology
Human Augmentation
Mobile Technologies
Privacy, Security and Neuroethics
Robotic Assisted Therapy
AREA 2: NEUROIMAGING AND NEUROSENSING
Artificial Intelligence for Neuroimaging
Sleep Analysis
Brain imaging
Diagnostic Sensors
EEG and EMG Signal Processing and Applications
Intelligent Diagnosis Systems
Mobile and Embedded Devices
Neural Signal Processing
Positron Emission Tomography
Real Time Monitoring of Neuromuscular and Neural Activity
AREA 3: NEUROINFORMATICS AND NEUROCOMPUTING
(Artificial) Neural Networks
Brain Models and Functions
Cognitive Science and Psychology
Computational Neuroscience
Learning Systems and Memory
Neurobiology
Reverse Engineering the Brain
Self-organization and Evolution
AREA 4: NEUROMODULATION AND NEURAL ENGINEERING
Biochips and Nanotechnology
Transcranial Magnetic Stimulation
Translating into Clinical and Industrial Outcomes
Bionic Vision
Cochlear implants
Cybernetics
Deep Brain Stimulation
Functional Electrical Stimulation (FES)
Neuro-interface Prosthetic Devices
Non-Invasive Brain Stimulation
Optogenetics
The congress will be held in Seville - Spain, from 20 to 21 September 2018 and the Paper submission is May 2, 2018
The Imperial College of London has a Next Generation Neural Interfaces research group to "create interfaces that will change the way the people interact with surroundings". Another team of researchers that surely contribute in advancing of BCIs area.
