Use of brain computer interface to drive : preliminary results

Hood, Deanna, Joseph, Damian, Rakotonirainy, Andry, & Sridharan, Sridha (2012) Use of brain computer interface to drive : preliminary results. In Kun, A.L., Boyle , L.N., Reimer, B., & Riener, A. (Eds.) Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, ACM, Portsmouth, NH, pp. 103-106.

View at publisher


This paper reports on the implementation of a non-invasive electroencephalography-based brain-computer interface to control functions of a car in a driving simulator. The system is comprised of a Cleveland Medical Devices BioRadio 150 physiological signal recorder, a MATLAB-based BCI and an OKTAL SCANeR advanced driving experience simulator.

The system utilizes steady-state visual-evoked potentials for the BCI paradigm, elicited by frequency-modulated high-power LEDs and recorded with the electrode placement of Oz-Fz with Fz as ground. A three-class online brain-computer interface was developed and interfaced with an advanced driving simulator to control functions of the car, including acceleration and steering.

The findings are mainly exploratory but provide an indication of the feasibility and challenges of brain-controlled on-road cars for the future, in addition to a safe, simulated BCI driving environment to use as a foundation for research into overcoming these challenges.

Impact and interest:

9 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 58518
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Brain computer interface (BCI), Car simulator, electroencephalography (EEG), human computer interaction, intelligent transport systems;, steady state visual evoked potential (SSVEP)
DOI: 10.1145/2390256.2390272
ISBN: 9781450317511
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 ACM
Deposited On: 20 Mar 2013 22:46
Last Modified: 12 Jun 2013 15:39

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page