Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction

  title={Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction},
  author={Stevo Bozinovski and Adrijan Bo{\vz}inovski},
  journal={IEEE Transactions on Autonomous Mental Development},
This paper focuses on electroencephalogram (EEG) manifestations of mental states and actions, emulation of control and communication structures using EEG manifestations, and their application in brain-robot interactions. The paper introduces a mentally emulated demultiplexer, a device which uses mental actions to demultiplex a single EEG channel into multiple digital commands. The presented device is applicable in controlling several objects through a single EEG channel. The experimental proof… 

Progress in EEG-Based Brain Robot Interaction Systems

This article reviews the major techniques needed for developing BRI systems, and describes a few BRI applications, including wheelchairs, manipulators, drones, and humanoid robots with respect to synchronous and asynchronous BCI-based techniques.

EEG-Emulated Control Circuits for Brain-Machine Interface

This paper reviews efforts in a new direction of the EEG research, the direction of EEG emulated control circuits used in brain computer interface (BCI) research, which was introduced in 2015 and demonstrated control of a robotic arm to avoid an obstacle.

A Comprehensive Review of Endogenous EEG-Based BCIs for Dynamic Device Control

This paper discusses BCIs to control various physical devices such as exoskeletons, wheelchairs, mobile robots, and robotic arms, and discusses the devices controlled, EEG paradigms, shared control, stabilization of the EEG signal, traditional machine learning and deep learning techniques, and user experience.

Signal Processing Robotics Using Signals Generated by a Human Head: From Pioneering Works to EEG-Based Emulation of Digital Circuits

This plenary keynote paper describes some pioneering steps in robot evolution, regarding human-robot communication using signals generated by a human head: speech, EEG, and EOG signals. The work was

Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI

These results demonstrated an SSVEP-based BCI could provide accurate and efficient high-level control of a robotic arm, showing the feasibility of a BCI-based robotic arm control system for hand-assistance.

Brain–Computer Interface in Europe: the thirtieth anniversary

The development of Brain–Computer Interface research is reviewed, covering period from 1973 when the term Brain-Computer Interface was introduced, till the last year of the twentieth century, 1999.

An Achievement Motivation Space for Brain-Robot Interface

The paper reports on an experimental investigation in Brain-Robot Interface where a EEG demultiplexer method is used. The task is to control a robotic arm to execute a movement trajectory avoiding an

A Hybrid Speller Design Using Eye Tracking and SSVEP Brain–Computer Interface

This work proposes to design a stimuli-responsive hybrid speller by using electroencephalography and video-based eye-tracking to increase user comfortability levels when presented with large numbers of simultaneously flickering stimuli and is superior to the other spellers in terms of targets classified, classification accuracy, and ITR.

Electrophysiological and Psychological Parameters of Learning in Medical Students with High Trait Anxiety

The results of the study suggest that subjects with high trait level show significantly slower and less efficient learning process during more complex cognitive tasks compared to subjects with low levels of trait anxiety.



A Brain Computer Interface based Humanoid Robot Control System

This paper develops a brain-computer-interface (BCI) based humanoid robot control system that consists of an electroencephalograph, a humanoid robot, and a CCD camera and proposes an approach to extracting the features of brainwaves to control the robot walking behaviors.


Electroencephalography is a domain concerning recording and interpretation of the electroencephalogram, a record of the electric signal generated by the cooperative action of brain cells, or more precisely, the time course of extracellular field potentials generated by their synchronous action.

The Mind As A Reliable Switch: Challenges Of Rapidly Controlling Devices Without Prior Learning

It is shown that participants can achieve rapid and reliable remote control of electrical devices using increase in alpha wave activity associated with reduced visual input.

Controlling Robots Using EEG Signals, Since 1988

The paper gives details of the development of the research infrastructure which enabled the first result in controlling a physical object using EEG signals in 1988, and gives a short overview of the first ten papers in the field of EEG driven control.

Robot Control Using Anticipatory Brain Potentials

This paper is focused on controlling robots using anticipatory potentials and an oscillatory expectation process generated in the CNV Flip-Flop Paradigm is used to trigger a sequence of robot behaviors.

Using EEG alpha rhythm to control a mobile robot

Experimental design allows the subject to start robot movement by closing his or her eyes and to stop the robot by opening them.

New vistas for alpha-frequency band oscillations.

It is proposed that simultaneous alpha-, beta- and gamma- frequency band oscillations are required for unified cognitive operations, and hypothesize that cross-frequency phase synchrony between alpha, beta and gamma oscillations coordinates the selection and maintenance of neuronal object representations during working memory, perception and consciousness.

Functional near-infrared spectroscopy in human-robot interaction

A comprehensive literature review of published research on fNIRS from various communities to assess its utility in HRI is provided and four exemplary applications are discussed.

Electrophysiologically Interactive Computer Systems

Electrophysiologically interactive computer systems (EpICS) combine physiological sensing technologies with interactive computer applications and form the backbone of brain-computer interfaces, prosthetics, and other hands-free control technologies.

The thought translation device (TTD) for completely paralyzed patients.

  • N. BirbaumerA. Kübler H. Flor
  • Psychology, Medicine
    IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
The thought translation device trains locked-in patients to self-regulate slow cortical potentials of their electroencephalogram (EEG) to demonstrate the usefulness of the thoughttranslation device as an alternative communication channel in motivated totally paralyzed patients with amyotrophic lateral sclerosis.