skip to main content
10.1145/3351995.3352045acmotherconferencesArticle/Chapter ViewAbstractPublication PageschitalyConference Proceedingsconference-collections
short-paper

Evaluating commercial BCIs for moving robots

Published: 23 September 2019 Publication History

Abstract

Brain Computer Interfaces (BCIs) are interfaces that put the user in communication with an electronic device mainly through brain signals. BCIs may offer promising applications for impaired patient assistance by controlling computers and/or robotic devices based on the patient's intentions. Non-invasive BCIs are needed for users acceptance, but they have several issues, as signals generated by the brain are dampened by the skull. In this paper, we propose some practical usage examples of two non-invasive commercial BCIs, experimented in a set of active tasks to control robot's movements. Through experiments, the commercial BCIs showed initial promising results, even if other complementary inputs were also used, e.g. and electromyography bracelet and eye and clench movements.

References

[1]
Reza Abiri, Griffin Heise, Xiaopeng Zhao, Yang Jiang, and Fateme Abiri. 2017. Brain computer interface for gesture control of a social robot: An offline study. 2017 Iranian Conference on Electrical Engineering (ICEE) (2017), 113--117.
[2]
Bryan Casey. 2015. Use The Force âĂŞ Move a Star Wars droid BB-8 with Your Mind. (2015). https://www.ibm.com/blogs/bluemix/2015/12/the-force-bb8-emotiv-insight-bluemix/
[3]
Hayrettin Gürkök and Anton Nijholt. 2012. Brain-Computer Interfaces for Multimodal Interaction: A Survey and Principles. Int. J. Hum. Comput. Interaction 28 (2012), 292--307.
[4]
Brent Lance, Scott E. Kerick, Anthony J. Ries, Kelvin S. Oie, and Kaleb McDowell. 2012. BrainâĂŞComputer Interface Technologies in the Coming Decades. Proc. IEEE 100 (2012), 1585--1599.
[5]
J d R Millán, R Rupp, G R Müller-Putz, R Murray-Smith, C Giugliemma, M Tanger-mann, C Vidaurre, F Cincotti, A Kübler, R Leeb, C Neuper, K-R Müller, and D Mattia. 2010. Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges. Frontiers in Neuroscience 4 (2010), 161.
[6]
Anton Nijholt, Boris Reuderink, and Danny Oude Bos. 2009. Turning Shortcomings into Challenges: Brain-Computer Interfaces for Games. In Intelligent Technologies for Interactive Entertainment, Anton Nijholt, Dennis Reidsma, and Hendri Hondorp (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 153--168.
[7]
Np Sheehy. 1984. Electroencephalography: Basic Principles, Clinical Applications and Related Fields. Journal of Neurology, Neurosurgery, and Psychiatry 47, 6 (06 1984), 654--654.
[8]
Desney S. Tan and Anton Nijholt. 2010. Brain-Computer Interfaces: Applying Our Minds to Human-Computer Interaction (1st ed.). Springer Publishing Company, Incorporated.

Cited By

View all
  • (2023)The BciAi4SLA Project: Towards a User-Centered BCIElectronics10.3390/electronics1205123412:5(1234)Online publication date: 4-Mar-2023
  • (2020)Influence of the number of channels when highlighting steady-state visual evoked potentials based on a multivariate synchronization index2020 13th International Conference on Developments in eSystems Engineering (DeSE)10.1109/DeSE51703.2020.9450761(195-199)Online publication date: 14-Dec-2020
  • (2020)Implementation of Robot–Human Control Bio-Interface When Highlighting Visual-Evoked Potentials Based on Multivariate Synchronization IndexProceedings of 15th International Conference on Electromechanics and Robotics "Zavalishin's Readings"10.1007/978-981-15-5580-0_18(225-236)Online publication date: 2-Sep-2020

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
CHItaly '19: Proceedings of the 13th Biannual Conference of the Italian SIGCHI Chapter: Designing the next interaction
September 2019
197 pages
ISBN:9781450371902
DOI:10.1145/3351995
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 September 2019

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. BCI
  2. brain computer interaction
  3. social assistive robots

Qualifiers

  • Short-paper

Conference

CHItaly19

Acceptance Rates

CHItaly '19 Paper Acceptance Rate 23 of 47 submissions, 49%;
Overall Acceptance Rate 109 of 242 submissions, 45%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)4
  • Downloads (Last 6 weeks)0
Reflects downloads up to 07 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2023)The BciAi4SLA Project: Towards a User-Centered BCIElectronics10.3390/electronics1205123412:5(1234)Online publication date: 4-Mar-2023
  • (2020)Influence of the number of channels when highlighting steady-state visual evoked potentials based on a multivariate synchronization index2020 13th International Conference on Developments in eSystems Engineering (DeSE)10.1109/DeSE51703.2020.9450761(195-199)Online publication date: 14-Dec-2020
  • (2020)Implementation of Robot–Human Control Bio-Interface When Highlighting Visual-Evoked Potentials Based on Multivariate Synchronization IndexProceedings of 15th International Conference on Electromechanics and Robotics "Zavalishin's Readings"10.1007/978-981-15-5580-0_18(225-236)Online publication date: 2-Sep-2020

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media