Brain–Computer Interface-Based Stochastic Navigation and Control of a Semiautonomous Mobile Robot in Indoor Environments

SUMMARYA brain–computer interface (BCI) is a system for commanding a device by means of brain signals without having to move any muscle. One kind of BCI is based on Steady-State Visual Evoked Potentials (SSVEP), which are evoked visual cortex responses elicited by a twinkling light source. Stimuli can produce visual fatigue; however, it has been well established that high-frequency SSVEP (>30 Hz) does not. In this paper, a mobile robot is remotely navigated into an office environment by means of an asynchronous high-frequency SSVEP-based BCI along with the image of a video camera. This BCI uses only three electroencephalographic channels and a simple processing signal method. The robot velocity control and the avoidance obstacle algorithms are also herein described. Seven volunteers were able to drive the mobile robot towards two different places. They had to evade desks and shelves, pass through a doorway and navigate in a corridor. The system was designed so as to allow the subject to move about without restrictions, since he/she had full robot movement's control. It was concluded that the developed system allows for remote mobile robot navigation in real indoor environments using brain signals. The proposed system is easy to use and does not require any special training. The user's visual fatigue is reduced because high-frequency stimulation is employed and, furthermore, the user gazes at the stimulus only when a command must be sent to the robot.

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Speed control of Festo Robotino mobile robot using NeuroSky MindWave EEG headset based brain-computer interface

2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) ◽

10.1109/coginfocom.2016.7804557 ◽

2016 ◽

Cited By ~ 28

Author(s):

Jozsef Katona ◽

Tibor Ujbanyi ◽

Gergely Sziladi ◽

Attila Kovari

Keyword(s):

Mobile Robot ◽

Brain Computer Interface ◽

Speed Control ◽

Computer Interface

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Beyond ‘communication and control’: towards ethically complete rationales for brain-computer interface research

Brain-Computer Interfaces ◽

10.1080/2326263x.2016.1213603 ◽

2016 ◽

Vol 3 (3) ◽

pp. 156-163 ◽

Cited By ~ 4

Author(s):

Laura Specker Sullivan ◽

Judy Illes

Keyword(s):

Brain Computer Interface ◽

Computer Interface ◽

And Control

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An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation

Frontiers in Human Neuroscience ◽

10.3389/fnhum.2021.647839 ◽

2021 ◽

Vol 15 ◽

Author(s):

Sanghum Woo ◽

Jongmin Lee ◽

Hyunji Kim ◽

Sungwoo Chun ◽

Daehyung Lee ◽

...

Keyword(s):

Open Source ◽

Virtual World ◽

Communication Channel ◽

Brain Computer Interface ◽

Open Science ◽

Computer Interface ◽

The Public ◽

Control Functions ◽

Computer Interfaces ◽

And Control

Brain–computer interfaces can provide a new communication channel and control functions to people with restricted movements. Recent studies have indicated the effectiveness of brain–computer interface (BCI) applications. Various types of applications have been introduced so far in this field, but the number of those available to the public is still insufficient. Thus, there is a need to expand the usability and accessibility of BCI applications. In this study, we introduce a BCI application for users to experience a virtual world tour. This software was built on three open-source environments and is publicly available through the GitHub repository. For a usability test, 10 healthy subjects participated in an electroencephalography (EEG) experiment and evaluated the system through a questionnaire. As a result, all the participants successfully played the BCI application with 96.6% accuracy with 20 blinks from two sessions and gave opinions on its usability (e.g., controllability, completeness, comfort, and enjoyment) through the questionnaire. We believe that this open-source BCI world tour system can be used in both research and entertainment settings and hopefully contribute to open science in the BCI field.

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