fNIRS-based BCI for Robot Control

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Brain-Computer Interfaces (BCIs) are playing an increasingly
important role in a broad spectrum of applications in
health, industry, education, and entertainment. We present
a novel, mobile and non-invasive BCI for advanced robot
control that is based on a brain imaging method known as
functional near-infrared spectroscopy (fNIRS). This BCI is
based on the concept of “automated autonomous intention
execution” (AutInEx), that is, the automated execution of
possibly very complex actions and action sequences intended
by a human through an autonomous robot.
Original languageEnglish
Title of host publicationfNIRS-based BCI for Robot Control
Publication statusPublished - 2015

Keywords

  • Robotics
  • Brain-computer interface
  • Functional near-infrared spectroscopy

Cite this

@inproceedings{0cdaafb167a64bb0a619e3b1e53f1422,
title = "fNIRS-based BCI for Robot Control",
abstract = "Brain-Computer Interfaces (BCIs) are playing an increasinglyimportant role in a broad spectrum of applications inhealth, industry, education, and entertainment. We presenta novel, mobile and non-invasive BCI for advanced robotcontrol that is based on a brain imaging method known asfunctional near-infrared spectroscopy (fNIRS). This BCI isbased on the concept of “automated autonomous intentionexecution” (AutInEx), that is, the automated execution ofpossibly very complex actions and action sequences intendedby a human through an autonomous robot.",
keywords = "Robotics, Brain-computer interface, Functional near-infrared spectroscopy",
author = "Kirill Tumanov and Rainer Goebel and Rico M{\"o}ckel and Bettina Sorger and Gerhard Weiss",
year = "2015",
language = "English",
booktitle = "fNIRS-based BCI for Robot Control",

}

fNIRS-based BCI for Robot Control. / Tumanov, Kirill; Goebel, Rainer; Möckel, Rico; Sorger, Bettina; Weiss, Gerhard.

fNIRS-based BCI for Robot Control. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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T1 - fNIRS-based BCI for Robot Control

AU - Tumanov, Kirill

AU - Goebel, Rainer

AU - Möckel, Rico

AU - Sorger, Bettina

AU - Weiss, Gerhard

PY - 2015

Y1 - 2015

N2 - Brain-Computer Interfaces (BCIs) are playing an increasinglyimportant role in a broad spectrum of applications inhealth, industry, education, and entertainment. We presenta novel, mobile and non-invasive BCI for advanced robotcontrol that is based on a brain imaging method known asfunctional near-infrared spectroscopy (fNIRS). This BCI isbased on the concept of “automated autonomous intentionexecution” (AutInEx), that is, the automated execution ofpossibly very complex actions and action sequences intendedby a human through an autonomous robot.

AB - Brain-Computer Interfaces (BCIs) are playing an increasinglyimportant role in a broad spectrum of applications inhealth, industry, education, and entertainment. We presenta novel, mobile and non-invasive BCI for advanced robotcontrol that is based on a brain imaging method known asfunctional near-infrared spectroscopy (fNIRS). This BCI isbased on the concept of “automated autonomous intentionexecution” (AutInEx), that is, the automated execution ofpossibly very complex actions and action sequences intendedby a human through an autonomous robot.

KW - Robotics

KW - Brain-computer interface

KW - Functional near-infrared spectroscopy

UR - http://youtu.be/q2qa0YiGsF8

M3 - Conference article in proceeding

BT - fNIRS-based BCI for Robot Control

ER -