fNIRS-based BCI for Robot Control

Kirill Tumanov; Rainer Goebel; Rico Möckel; Bettina Sorger; Gerhard Weiss

fNIRS-based BCI for Robot Control

Kirill Tumanov^*, Rainer Goebel, Rico Möckel, Bettina Sorger, Gerhard Weiss

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-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 language	English
Title of host publication	fNIRS-based BCI for Robot Control
Publication status	Published - 2015

Keywords

Robotics
Brain-computer interface
Functional near-infrared spectroscopy

Access to Document

http://www.ifaamas.org/Proceedings/aamas2015/aamas/p1953.pdf

Cite this

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title = "fNIRS-based BCI for Robot Control",

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.",

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author = "Kirill Tumanov and Rainer Goebel and Rico M{\"o}ckel and Bettina Sorger and Gerhard Weiss",

year = "2015",

language = "English",

isbn = "978-1-4503-3413-6",

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TY - GEN

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 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.

AB - 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.

KW - Robotics

KW - Brain-computer interface

KW - Functional near-infrared spectroscopy

UR - http://youtu.be/q2qa0YiGsF8

M3 - Conference article in proceeding

SN - 978-1-4503-3413-6

BT - fNIRS-based BCI for Robot Control

ER -

fNIRS-based BCI for Robot Control

Abstract

Keywords

Access to Document

Other files and links

14th International Conference on Autonomous Agents and Multiagent Systems

Cite this

fNIRS-based BCI for Robot Control

Abstract

Keywords

Access to Document

Other files and links

Activities

14th International Conference on Autonomous Agents and Multiagent Systems

Cite this